Do you worry that your friends might not actually vote?
Incentivise them with a friendly bet.
VoteStakes is a social media game that enters friends into social contracts to encourage participation in elections.
Search for an upcoming voting event. Determine what stakes are owed if someone forgets to vote.
Share this challenge with your friends on social media and encourage them to accept.
After logging in with Facebook to confirm mutual friendship, VoteStakes will make a record of this new social contract.
As the voting event approaches, you'll get a reminder for the date and the agreed upon stakes.


So the mind is immaterial and finite.
Will artificial intelligence eventually reach the abilities of the human intellect?
Yes, artificial intelligence will eventually reach the abilities of the human intellect (or it already has).
No, artificial intelligence will never reach the abilities of the human intellect?
Back


A hackathon is where your crazy ideas become reality. Build something: an app, a website, a game, a Slackbot, anything. The possibilities are limitless. Break things. Do something you've never done before. Move quickly—you only have 36 hours! Grab your breadboards, charge your laptops, and put on your Oculi. Let's hack!
Cal Hacks 3.0 will take place at California Memorial Stadium, on Piedmont Avenue on the east side of UC Berkeley campus. The address is: 2227 Piedmont Ave Berkeley, CA 94720
See you there :)
Email us at sponsorship@calhacks.io


|
About
Resources
Download
|
|
Overview
|
Although Lucene provides the ability to create your own
queries through its API, it also provides a rich query
language through the Query Parser, a lexer which
interprets a string into a Lucene Query using JavaCC.
This page provides the Query Parser syntax in Lucene 1.9.
If you are using a different
version of Lucene, please consult the copy of
docs/queryparsersyntax.html that was distributed
with the version you are using.
Before choosing to use the provided Query Parser, please consider the following:
- If you are programmatically generating a query string and then
parsing it with the query parser then you should seriously consider building
your queries directly with the query API. In other words, the query
parser is designed for human-entered text, not for program-generated
text.
- Untokenized fields are best added directly to queries, and not
through the query parser. If a field's values are generated programmatically
by the application, then so should query clauses for this field.
An analyzer, which the query parser uses, is designed to convert human-entered
text to terms. Program-generated values, like dates, keywords, etc.,
should be consistently program-generated.
- In a query form, fields which are general text should use the query
parser. All others, such as date ranges, keywords, etc. are better added
directly through the query API. A field with a limit set of values,
that can be specified with a pull-down menu should not be added to a
query string which is subsequently parsed, but rather added as a
TermQuery clause.
|
|
|
Terms
|
A query is broken up into terms and operators. There are two types of terms: Single Terms and Phrases.
A Single Term is a single word such as "test" or "hello".
A Phrase is a group of words surrounded by double quotes such as "hello dolly".
Multiple terms can be combined together with Boolean operators to form a more complex query (see below).
Note: The analyzer used to create the index will be used on the terms and phrases in the query string.
So it is important to choose an analyzer that will not interfere with the terms used in the query string.
|
|
|
Term Modifiers
|
Lucene supports modifying query terms to provide a wide range of searching options.
|
Wildcard Searches
|
Lucene supports single and multiple character wildcard searches.
To perform a single character wildcard search use the "?" symbol.
To perform a multiple character wildcard search use the "*" symbol.
The single character wildcard search looks for terms that match that with the single character replaced. For example, to search for "text" or "test" you can use the search:
Multiple character wildcard searches looks for 0 or more characters. For example, to search for test, tests or tester, you can use the search:
You can also use the wildcard searches in the middle of a term.
Note: You cannot use a * or ? symbol as the first character of a search.
|
|
|
Fuzzy Searches
|
Lucene supports fuzzy searches based on the Levenshtein Distance, or Edit Distance algorithm. To do a fuzzy search use the tilde, "~", symbol at the end of a Single word Term. For example to search for a term similar in spelling to "roam" use the fuzzy search:
This search will find terms like foam and roams.
Starting with Lucene 1.9 an additional (optional) parameter can specify the required similarity. The value is between 0 and 1, with a value closer to 1 only terms with a higher similarity will be matched. For example:
The default that is used if the parameter is not given is 0.5.
|
|
|
Proximity Searches
|
Lucene supports finding words are a within a specific distance away. To do a proximity search use the tilde, "~", symbol at the end of a Phrase. For example to search for a "apache" and "jakarta" within 10 words of each other in a document use the search:
|
|
|
|
|
Boolean operators
|
Boolean operators allow terms to be combined through logic operators.
Lucene supports AND, "+", OR, NOT and "-" as Boolean operators(Note: Boolean operators must be ALL CAPS).
|
+
|
The "+" or required operator requires that the term after the "+" symbol exist somewhere in a the field of a single document.
To search for documents that must contain "jakarta" and may contain "lucene" use the query:
|
|
|
|
|
Escaping Special Characters
|
Lucene supports escaping special characters that are part of the query syntax. The current list special characters are
+ - && || ! ( ) { } [ ] ^ " ~ * ? : \
To escape these character use the \ before the character. For example to search for (1+1):2 use the query:
|
|
|


Slidenav
Defines a navigation with previous and next buttons to browse through slideshows.
Usage
To create a navigation with previous and next buttons, just add the .uk-slidenav
class to
elements. Add the .uk-slidenav-previous
or .uk-slidenav-next
class to style the nav items as previous or next buttons.
Example
Markup

Position slidenav
To position the Slidenav over any content, like a slideshow or an image, just wrap the nav and content inside a container element and add the .uk-slidenav-position
class. That way the previous and next buttons will be centered vertically and aligned to the left and right. The Slidenav will only be visible when hovering the content.
Markup

Slidenav and images
For better visibility on images, for example when using the Slidenav as a slideshow navigation, just add the .uk-slidenav-contrast
class.
Markup


Ok, there are heaps of them on the net. Here comes my YACSDA. Maybe the only thing about it to mention is that it comes in German language.
- Analytical language: R (3.3)
- Purpose: Demonstrate basic exploratory and modeling techniques
- Packages used:
dplyr
,ggplot2
- Data set: Affair; source R package COUNT
- Analytical topics covered: descriptive statistics, visualization, liner model, logistic linear model
- Reproducibility: Rmarkdown, knitr, github
Code on Github
Some impression of the tutorial:


Abaza
1
3K
Northwest Caucasian
Abaza treebanks
UD_Abaza-ATB is a treebank based on [Spoken corpus of Abaza](https://linghub.ru/spoken_abaza/).
Language documentation
The language hub documentation has not yet been created or ported from the UDv1 documentation.
Afrikaans
1
49K
IE, Germanic
Afrikaans treebanks
UD Afrikaans-AfriBooms is a conversion of the AfriBooms Dependency Treebank, originally annotated with a simplified PoS set and dependency relations according to a subset of the Stanford tag set. The corpus consists of public government documents.
Language documentation
The language hub documentation has not yet been created or ported from the UDv1 documentation.
Akkadian
1
1K
Afro-Asiatic, Semitic
Akkadian treebanks
A small set of sentences from Babylonian royal inscriptions.
Language documentation
The language hub documentation has not yet been created or ported from the UDv1 documentation.
Albanian
1
<1K
IE, Albanian
Albanian treebanks
The UD Albanian Treebank is a small treebank for Standard Albanian, developed within a project framework at Uppsala University. The data was extracted from Wikipedia.
Language documentation
See the
language documentation page.
Amharic
1
10K
Afro-Asiatic, Semitic
Amharic treebanks
UD_Amharic-ATT is a manual developed Treebanks for Amharic. Sentences were collected from grammar books, fictions, biographies, religious texts and news.
Language documentation
The language hub documentation has not yet been created or ported from the UDv1 documentation.
Ancient Greek
2
416K
IE, Greek
Ancient Greek treebanks
UD_Ancient_Greek-PROIEL is converted from the Ancient Greek data in the PROIEL treebank, and consists of the New Testament plus selections from Herodotus.
This Universal Dependencies Ancient Greek Treebank consists of an automatic
conversion of a selection of passages from the Ancient Greek and Latin
Dependency Treebank 2.1
See
here for comparative statistics of Ancient Greek treebanks.
Language documentation
The language hub documentation has not yet been created or ported from the UDv1 documentation.
Arabic
3
1,042K
Afro-Asiatic, Semitic
Arabic treebanks
The Arabic-PADT UD treebank is based on the
[Prague Arabic Dependency Treebank](http://ufal.mff.cuni.cz/padt/) (PADT),
created at the Charles University in Prague.
This is a part of the Parallel Universal Dependencies (PUD) treebanks created
for the [CoNLL 2017 shared task on Multilingual Parsing from Raw Text to
Universal Dependencies](http://universaldependencies.org/conll17/).
- Contributors: Hans Uszkoreit, Vivien Macketanz, Aljoscha Burchardt, Kim Harris, Katrin Marheinecke, Slav Petrov, Tolga Kayadelen, Mohammed Attia, Ali Elkahky, Zhuoran Yu, Emily Pitler, Saran Lertpradit, Luma Ateyah, Martin Popel, Daniel Zeman, Nizar Habash, Dima Taji
- Repository master dev
- README
- Treebank hub page
- Download
The NYUAD Arabic UD treebank is based on the Penn Arabic Treebank (PATB), parts 1, 2, and 3, through conversion to CATiB dependency trees.
See
here for comparative statistics of Arabic treebanks.
Language documentation
See the
language documentation page.
Armenian
1
52K
IE, Armenian
Armenian treebanks
Modern Eastern Armenian Universal Dependencies treebank, developed for UD originally by the ArmTDP team led by Marat M. Yavrumyan at the Yerevan State University.
Language documentation
See the
language documentation page.
Assyrian
1
<1K
Afro-Asiatic, Semitic
Assyrian treebanks
The Uppsala Assyrian Treebank is a small treebank for Modern Standard Assyrian. The corpus is collected and annotated manually. The data was randomly collected from different textbooks and a short translation of The Merchant of Venice.
Language documentation
See the
language documentation page.
Bambara
1
13K
Mande
Bambara treebanks
The UD Bambara treebank is a section of the Corpus Référence du Bambara annotated natively with Universal Dependencies.
Language documentation
The language hub documentation has not yet been created or ported from the UDv1 documentation.
Basque
1
121K
Basque
Basque treebanks
The Basque UD treebank is based on a automatic conversion from part of the Basque Dependency Treebank (BDT), created at the University of of the Basque Country by the IXA NLP research group. The treebank consists of 8.993 sentences (121.443 tokens) and covers mainly literary and journalistic texts.
Language documentation
The language hub documentation has not yet been created or ported from the UDv1 documentation.
Belarusian
1
13K
IE, Slavic
Belarusian treebanks
The Belarusian UD treebank is based on a sample of the news texts included in the Belarusian-Russian parallel subcorpus of the Russian National Corpus,
online search available at: http://ruscorpora.ru/search-para-be.html.
Language documentation
See the
language documentation page.
Bhojpuri
2
6K
IE, Indic
Bhojpuri treebanks
The [Bhojpuri](https://en.wikipedia.org/wiki/Bhojpuri_language) UD Treebank (BHTB) is a part of the [Universal Dependency treebank](http://universaldependencies.org/) project.
BhEn
-
... 1-2 sentences (see [release checklist](http://universaldependencies.org/release_checklist.html#the-readme-file) for README guidelines) ...
Language documentation
See the
language documentation page.
Breton
1
10K
IE, Celtic
Breton treebanks
UD Breton-KEB is a treebank of Breton that has been manually annotated according to the Universal Dependencies guidelines. The
tokenisation guidelines and morphological annotation comes from a finite-state morphological analyser of Breton released as part
of the [Apertium project](http://www.apertium.org).
Language documentation
The language hub documentation has not yet been created or ported from the UDv1 documentation.
Bulgarian
1
156K
IE, Slavic
Bulgarian treebanks
UD_Bulgarian-BTB is based on the HPSG-based BulTreeBank,
created at the Institute of Information and Communication Technologies,
Bulgarian Academy of Sciences.
The original consists of 215,000 tokens (over 15,000 sentences).
All the texts were processed automatically at tokenization, morphological
and chunk level. Then, the full syntactic analysis were perfomed manually by
trained annotators.
Language documentation
See the
language documentation page.
Buryat
1
10K
Mongolic
Buryat treebanks
The UD Buryat treebank was annotated manually natively in UD and contains grammar book sentences, along with
news and some fiction.
Language documentation
The language hub documentation has not yet been created or ported from the UDv1 documentation.
Cantonese
1
13K
Sino-Tibetan
Cantonese treebanks
A Cantonese treebank (in Traditional Chinese characters) of film subtitles and of legislative proceedings
of Hong Kong, parallel with the Chinese-HK treebank.
Language documentation
The language hub documentation has not yet been created or ported from the UDv1 documentation.
Catalan
1
531K
IE, Romance
Chinese
5
285K
Sino-Tibetan
Chinese treebanks
Simplified Chinese Universal Dependencies dataset converted from the GSD (traditional) dataset with manual corrections.
Traditional Chinese Universal Dependencies Treebank annotated and converted by
Google.
This is a part of the Parallel Universal Dependencies (PUD) treebanks created
for the [CoNLL 2017 shared task on Multilingual Parsing from Raw Text to
Universal Dependencies](http://universaldependencies.org/conll17/).
- Contributors: Hans Uszkoreit, Vivien Macketanz, Aljoscha Burchardt, Kim Harris, Katrin Marheinecke, Slav Petrov, Tolga Kayadelen, Mohammed Attia, Ali Elkahky, Zhuoran Yu, Emily Pitler, Saran Lertpradit, Josie Li, Cheuk Ying Li, Martin Popel, Daniel Zeman, Herman Leung
- Repository master dev
- README
- Treebank hub page
- Download
A Traditional Chinese treebank of film subtitles and of legislative proceedings
of Hong Kong, parallel with the Cantonese-HK treebank.
The Chinese-CFL UD treebank is manually annotated by Keying Li with minor manual revisions by Herman Leung and John Lee at City University of Hong Kong, based on essays written by learners of Mandarin Chinese as a foreign language. The data is in Simplified Chinese.
See
here for comparative statistics of Chinese treebanks.
Language documentation
The language hub documentation has not yet been created or ported from the UDv1 documentation.
Classical Chinese
1
130K
Sino-Tibetan
Classical Chinese treebanks
Classical Chinese Universal Dependencies Treebank annotated and converted by Institute for Research in Humanities, Kyoto University.
- Contributors: Koichi Yasuoka, Christian Wittern, Tomohiko Morioka, Takumi Ikeda, Naoki Yamazaki, Yoshihiro Nikaido, Shingo Suzuki, Shigeki Moro, Yuan Li, Hiroyuki Shirasu, Kazunori Fujita
- Repository master dev
- README
- Treebank hub page
- Download
Language documentation
See the
language documentation page.
Coptic
1
42K
Afro-Asiatic, Egyptian
Coptic treebanks
UD Coptic contains manually annotated Sahidic Coptic texts, including Biblical texts, sermons, letters, and hagiography.
Language documentation
See the
language documentation page.
Croatian
1
199K
IE, Slavic
Croatian treebanks
The Croatian UD treebank is based on the extension of the SETimes-HR corpus, the [hr500k](http://hdl.handle.net/11356/1183) corpus.
Language documentation
See the
language documentation page.
Czech
5
2,226K
IE, Slavic
Czech treebanks
The Czech-PDT UD treebank is based on the Prague Dependency Treebank 3.0 (PDT),
created at the Charles University in Prague.
FicTree is a treebank of Czech fiction, automatically converted into the UD
format. The treebank was built at Charles University in Prague.
This is a part of the Parallel Universal Dependencies (PUD) treebanks created
for the [CoNLL 2017 shared task on Multilingual Parsing from Raw Text to
Universal Dependencies](http://universaldependencies.org/conll17/).
The UD_Czech-CAC treebank is based on the Czech Academic Corpus 2.0 (CAC;
Český akademický korpus; ČAK), created at Charles University in Prague.
The UD_Czech-CLTT treebank is based on the Czech Legal Text Treebank 1.0,
created at Charles University in Prague.
See
here for comparative statistics of Czech treebanks.
Language documentation
See the
language documentation page.
Danish
2
100K
IE, Germanic
Danish treebanks
The Danish UD treebank is a conversion of the Danish Dependency Treebank.
DTB
-
... 1-2 sentences (see [release checklist](http://universaldependencies.org/release_checklist.html#the-readme-file) for README guidelines) ...
Language documentation
The language hub documentation has not yet been created or ported from the UDv1 documentation.
Dutch
2
306K
IE, Germanic
Dutch treebanks
This corpus consists of samples from various treebanks annotated at the University of Groningen using the Alpino annotation tools and guidelines.
This corpus contains sentences from the Wikipedia section of the Lassy Small Treebank.
Universal Dependency annotation was generated automatically from the original annotation in Lassy.
See
here for comparative statistics of Dutch treebanks.
Language documentation
See the
language documentation page.
English
9
648K
IE, Germanic
English treebanks
Universal Dependencies syntax annotations from the GUM corpus (https://corpling.uis.georgetown.edu/gum/)
UD_English-ParTUT is a conversion of a multilingual parallel treebank developed at the University of Turin,
and consisting of a variety of text genres, including talks, legal texts and Wikipedia articles, among others.
This is the English portion of the Parallel Universal Dependencies (PUD)
treebanks created for the CoNLL 2017 shared task on Multilingual Parsing
from Raw Text to Universal Dependencies
(http://universaldependencies.org/conll17/).
- Contributors: Hans Uszkoreit, Vivien Macketanz, Aljoscha Burchardt, Kim Harris, Katrin Marheinecke, Slav Petrov, Tolga Kayadelen, Mohammed Attia, Ali Elkahky, Zhuoran Yu, Emily Pitler, Saran Lertpradit, Jesse Kirchner, Lorenzo Lambertino, Martin Popel, Daniel Zeman, Christopher Manning, Sebastian Schuster, Siva Reddy
- Repository master dev
- README
- Treebank hub page
- Download
UD English_LinES is the English half of the LinES Parallel Treebank
with the original dependency annotation first automatically converted
into Universal Dependencies and then partially reviewed. Its contents cover
literature, an online manual and Europarl data.
UD English-Pronouns is dataset created to make pronoun identification more accurate and with a more balanced distribution across genders. The dataset is initially targeting the Independent Genitive pronouns, "hers", (independent) "his", (singular) "theirs", "mine", and (singular) "yours".
Universal Dependencies syntax annotations from the Reddit portion of the GUM corpus (https://corpling.uis.georgetown.edu/gum/)
A Gold Standard Universal Dependencies Corpus for English,
built over the source material of the English Web Treebank
LDC2012T13 (https://catalog.ldc.upenn.edu/LDC2012T13).
- Contributors: Natalia Silveira, Timothy Dozat, Christopher Manning, Sebastian Schuster, Ethan Chi, John Bauer, Miriam Connor, Marie-Catherine de Marneffe, Nathan Schneider, Sam Bowman, Hanzhi Zhu, Daniel Galbraith
- Repository master dev
- README
- Treebank hub page
- Download
UD English-ESL / Treebank of Learner English (TLE) contains manual POS tag and dependency annotations for 5,124 English as a Second Language (ESL) sentences drawn from the Cambridge Learner Corpus First Certificate in English (FCE) dataset.
- Contributors: Yevgeni Berzak, Jessica Kenney, Carolyn Spadine, Jing Xian Wang, Lucia Lam, Keiko Sophie Mori, Sebastian Garza, Boris Katz, Margarita Misirpashayeva
- Repository master dev
- README
- Treebank hub page
- Download
BhEn
-
... 1-2 sentences (see [release checklist](http://universaldependencies.org/release_checklist.html#the-readme-file) for README guidelines) ...
See
here for comparative statistics of English treebanks.
Language documentation
See the
language documentation page.
Erzya
1
16K
Uralic, Mordvin
Erzya treebanks
UD Erzya is the original annotation (CoNLL-U) for texts in the Erzya language,
it originally consists of a sample from a number of fiction authors writing originals in Erzya.
Language documentation
See the
language documentation page.
Estonian
2
481K
Uralic, Finnic
Estonian treebanks
UD Estonian is a converted version of the Estonian Dependency Treebank (EDT), originally annotated in the Constraint Grammar (CG) annotation scheme, and consisting of genres of fiction, newspaper texts and scientific texts. The treebank contains 30,972 trees, 437,769 tokens.
UD EWT treebank consists of different genres of new media. The treebank contains 3,157 trees, 43,084 tokens.
See
here for comparative statistics of Estonian treebanks.
Language documentation
See the
language documentation page.
Faroese
2
10K
IE, Germanic
Faroese treebanks
This is a treebank of Faroese based on the Faroese Wikipedia.
FarPaHC
-
UD_Icelandic-FarPaHC is a conversion of the Faroese Parsed Historical Corpus (FarPaHC) to the Universal Dependencies scheme %... 1-2 sentences (see [release checklist](http://universaldependencies.org/release_checklist.html#the-readme-file) for README guidelines) ...
Language documentation
The language hub documentation has not yet been created or ported from the UDv1 documentation.
Finnish
3
377K
Uralic, Finnic
Finnish treebanks
UD_Finnish-TDT is based on the Turku Dependency Treebank (TDT), a broad-coverage dependency treebank of general Finnish covering numerous genres. The conversion to UD was followed by extensive manual checks and corrections, and the treebank closely adheres to the UD guidelines.
This is a part of the Parallel Universal Dependencies (PUD) treebanks created
for the [CoNLL 2017 shared task on Multilingual Parsing from Raw Text to
Universal Dependencies](http://universaldependencies.org/conll17/).
FinnTreeBank 1 consists of manually annotated grammatical examples
from VISK. The UD version of FinnTreeBank 1 was converted from a
native annotation model with a script and later manually revised.
See
here for comparative statistics of Finnish treebanks.
Language documentation
See the
language documentation page.
French
8
1,157K
IE, Romance
French treebanks
UD_French-ParTUT is a conversion of a multilingual parallel treebank developed at the University of Turin,
and consisting of a variety of text genres, including talks, legal texts and Wikipedia articles, among others.
The **UD_French-GSD** was converted in 2015 from the content head version of the universal
dependency treebank v2.0 (https://github.com/ryanmcd/uni-dep-tb).
It is updated since 2015 independently from the previous source.
- Contributors: Marie-Catherine de Marneffe, Bruno Guillaume, Ryan McDonald, Alane Suhr, Joakim Nivre, Matias Grioni, Carly Dickerson, Guy Perrier
- Repository master dev
- README
- Treebank hub page
- Download
**UD_French-Sequoia** is an automatic conversion of the Sequoia Treebank corpus [French Sequoia corpus](http://deep-sequoia.inria.fr).
The corpus **UD_French-FQB** is an automatic conversion of the [French QuestionBank v1](http://alpage.inria.fr/Treebanks/FQB/), a corpus entirely made of questions.
A Universal Dependencies corpus for spoken French.
This is a part of the Parallel Universal Dependencies (PUD) treebanks created
for the [CoNLL 2017 shared task on Multilingual Parsing from Raw Text to
Universal Dependencies](http://universaldependencies.org/conll17/).
- Contributors: Hans Uszkoreit, Vivien Macketanz, Aljoscha Burchardt, Kim Harris, Katrin Marheinecke, Slav Petrov, Tolga Kayadelen, Mohammed Attia, Ali Elkahky, Zhuoran Yu, Emily Pitler, Saran Lertpradit, Jana Strnadová, Gauthier Caron, Martin Popel, Daniel Zeman, Marie-Catherine de Marneffe, Bruno Guillaume
- Repository master dev
- README
- Treebank hub page
- Download
The Universal Dependency version of the French Treebank (Abeillé et al., 2003), hereafter UD_French-FTB, is a treebank of sentences from the newspaper Le Monde, initially manually annotated with morphological information and phrase-structure and then converted to the Universal Dependencies annotation scheme.
CrapBank
-
... 1-2 sentences (see [release checklist](http://universaldependencies.org/release_checklist.html#the-readme-file) for README guidelines) ...
See
here for comparative statistics of French treebanks.
Language documentation
See the
language documentation page.
Galician
2
164K
IE, Romance
Galician treebanks
The Galician-TreeGal is a treebank for Galician developed at LyS Group (Universidade da Coruña).
The Galician UD treebank is based on the automatic parsing of the Galician Technical Corpus (http://sli.uvigo.gal/CTG) created at the University of Vigo by the the TALG NLP research group.
See
here for comparative statistics of Galician treebanks.
Language documentation
See the
language documentation page.
German
4
3,753K
IE, Germanic
German treebanks
UD German-HDT is a conversion of the Hamburg Dependency Treebank,
created at the University of Hamburg through manual annotation in
conjunction with a standard for morphologically and syntactically
annotating sentences as well as a constraint-based parser.
The German UD is converted from the content head version of the [universal
dependency treebank v2.0 (legacy)](https://github.com/ryanmcd/uni-dep-tb).
This is a part of the Parallel Universal Dependencies (PUD) treebanks created
for the [CoNLL 2017 shared task on Multilingual Parsing from Raw Text to
Universal Dependencies](http://universaldependencies.org/conll17/).
- Contributors: Hans Uszkoreit, Vivien Macketanz, Aljoscha Burchardt, Georg Rehm, Kim Harris, Katrin Marheinecke, Slav Petrov, Tolga Kayadelen, Mohammed Attia, Ali Elkahky, Zhuoran Yu, Emily Pitler, Saran Lertpradit, Michael Mandl, Sebastian Bank, Martin Popel, Daniel Zeman
- Repository master dev
- README
- Treebank hub page
- Download
This treebank aims at gathering texts of the German literary history. Currently, it hosts Fragments of the early Romanticism, i.e. aphorism-like texts mainly dealing with philosophical issues concerning art, beauty and related topics.
See
here for comparative statistics of German treebanks.
Language documentation
See the
language documentation page.
Gothic
1
55K
IE, Germanic
Gothic treebanks
The UD Gothic treebank is based on the Gothic data from the PROIEL treebank, and consists of Wulfila's Bible translation.
Language documentation
The language hub documentation has not yet been created or ported from the UDv1 documentation.
Greek
1
63K
IE, Greek
Greek treebanks
The Greek UD treebank (UD_Greek-GDT) is derived from the Greek Dependency Treebank
(http://gdt.ilsp.gr), a resource developed and maintained by
researchers at the Institute for Language and Speech Processing/Athena
R.C. (http://www.ilsp.gr).
Language documentation
See the
language documentation page.
Hebrew
1
161K
Afro-Asiatic, Semitic
Hindi
2
375K
IE, Indic
Hindi treebanks
The Hindi UD treebank is based on the Hindi Dependency Treebank (HDTB),
created at IIIT Hyderabad, India.
This is a part of the Parallel Universal Dependencies (PUD) treebanks created
for the [CoNLL 2017 shared task on Multilingual Parsing from Raw Text to
Universal Dependencies](http://universaldependencies.org/conll17/).
- Contributors: Hans Uszkoreit, Vivien Macketanz, Aljoscha Burchardt, Kim Harris, Katrin Marheinecke, Slav Petrov, Tolga Kayadelen, Mohammed Attia, Ali Elkahky, Zhuoran Yu, Emily Pitler, Saran Lertpradit, Esha Banerjee, Pinkey Nainwani, Martin Popel, Daniel Zeman
- Repository master dev
- README
- Treebank hub page
- Download
See
here for comparative statistics of Hindi treebanks.
Language documentation
See the
language documentation page.
Hindi English
1
26K
Code switching
Hindi English treebanks
The Hindi-English Code-switching treebank is based on code-switching tweets of Hindi and English multilingual speakers (mostly Indian) on Twitter. The treebank is manually annotated using UD sceheme. The training and evaluations sets were seperately annotated by different annotators using UD v2 and v1 guidelines respectively. The evaluation sets are automatically converted from UD v1 to v2.
Language documentation
The language hub documentation has not yet been created or ported from the UDv1 documentation.
Hungarian
1
42K
Uralic, Ugric
Hungarian treebanks
The Hungarian UD treebank is derived from the Szeged Dependency Treebank (Vincze et al. 2010).
Language documentation
The language hub documentation has not yet been created or ported from the UDv1 documentation.
Icelandic
2
1,001K
IE, Germanic
Icelandic treebanks
Icelandic-PUD is the Icelandic part of the Parallel Universal Dependencies (PUD) treebanks.
UD_Icelandic-IcePaHC is a conversion of the [Icelandic Parsed Historical Corpus (IcePaHC)](https://linguist.is/icelandic_treebank/Icelandic_Parsed_Historical_Corpus_(IcePaHC)) to the Universal Dependencies scheme.
The conversion was done using a custom-made heuristic converter.
See
here for comparative statistics of Icelandic treebanks.
Language documentation
See the
language documentation page.
Indonesian
2
141K
Austronesian, Malayo-Sumbawan
Indonesian treebanks
The Indonesian UD is converted from the content head version of the [universal
dependency treebank v2.0 (legacy)](https://github.com/ryanmcd/uni-dep-tb).
This is a part of the Parallel Universal Dependencies (PUD) treebanks created
for the [CoNLL 2017 shared task on Multilingual Parsing from Raw Text to
Universal Dependencies](http://universaldependencies.org/conll17/).
- Contributors: Hans Uszkoreit, Vivien Macketanz, Aljoscha Burchardt, Kim Harris, Katrin Marheinecke, Slav Petrov, Tolga Kayadelen, Mohammed Attia, Ali Elkahky, Zhuoran Yu, Emily Pitler, Saran Lertpradit, Ruli Manurung, Muh Shohibussirri, Martin Popel, Daniel Zeman
- Repository master dev
- README
- Treebank hub page
- Download
See
here for comparative statistics of Indonesian treebanks.
Language documentation
The language hub documentation has not yet been created or ported from the UDv1 documentation.
Irish
1
64K
IE, Celtic
Irish treebanks
A Universal Dependencies 2924-sentence treebank for modern Irish.
Language documentation
See the
language documentation page.
Italian
6
811K
IE, Romance
Italian treebanks
The Italian corpus annotated according to the UD annotation scheme was obtained by conversion from ISDT (Italian Stanford Dependency Treebank), released for the dependency parsing shared task of Evalita-2014 (Bosco et al. 2014).
The UD_Italian-VIT corpus was obtained by conversion from VIT (Venice Italian Treebank), developed at the Laboratory of Computational Linguistics of the Università Ca' Foscari in Venice (Delmonte et al. 2007; Delmonte 2009; http://rondelmo.it/resource/VIT/Browser-VIT/index.htm).
UD_Italian-ParTUT is a conversion of a multilingual parallel treebank developed at the University of Turin,
and consisting of a variety of text genres, including talks, legal texts and Wikipedia articles, among others.
TWITTIRÒ-UD is a collection of ironic Italian tweets annotated in Universal Dependencies.
The treebank can be exploited for the training of NLP systems to enhance their performance on social media texts, and in particular, for irony detection purposes.
PoSTWITA-UD is a collection of Italian tweets annotated in Universal Dependencies that can be exploited for the training of NLP systems to enhance their performance on social media texts.
This is a part of the Parallel Universal Dependencies (PUD) treebanks created
for the [CoNLL 2017 shared task on Multilingual Parsing from Raw Text to
Universal Dependencies](http://universaldependencies.org/conll17/).
- Contributors: Hans Uszkoreit, Vivien Macketanz, Aljoscha Burchardt, Kim Harris, Katrin Marheinecke, Slav Petrov, Tolga Kayadelen, Mohammed Attia, Ali Elkahky, Zhuoran Yu, Emily Pitler, Saran Lertpradit, Antonio Stella, Davide Rovati, Martin Popel, Daniel Zeman, Maria Simi, Manuela Sanguinetti
- Repository master dev
- README
- Treebank hub page
- Download
See
here for comparative statistics of Italian treebanks.
Language documentation
See the
language documentation page.
Japanese
5
1,699K
Japanese
Japanese treebanks
This Universal Dependencies (UD) Japanese treebank is based on the definition of UD Japanese convention described in the UD documentation. The original sentences are from Google UDT 2.0.
- Contributors: Mai Omura, Yusuke Miyao, Hiroshi Kanayama, Hiroshi Matsuda, Aya Wakasa, Kayo Yamashita, Masayuki Asahara, Takaaki Tanaka, Yugo Murawaki, Yuji Matsumoto, Shinsuke Mori, Sumire Uematsu, Ryan McDonald, Joakim Nivre, Daniel Zeman
- Repository master dev
- README
- Treebank hub page
- Download
This is a part of the Parallel Universal Dependencies (PUD) treebanks created
for the [CoNLL 2017 shared task on Multilingual Parsing from Raw Text to
Universal Dependencies](http://universaldependencies.org/conll17/).
- Contributors: Mai Omura, Yusuke Miyao, Hiroshi Kanayama, Hiroshi Matsuda, Aya Wakasa, Kayo Yamashita, Masayuki Asahara, Takaaki Tanaka, Yugo Murawaki, Yuji Matsumoto, Shinsuke Mori, Sumire Uematsu, Hans Uszkoreit, Vivien Macketanz, Aljoscha Burchardt, Kim Harris, Katrin Marheinecke, Slav Petrov, Tolga Kayadelen, Mohammed Attia, Ali Elkahky, Zhuoran Yu, Emily Pitler, Saran Lertpradit, Atsuko Shimada, Anna Trukhina, Martin Popel, Daniel Zeman
- Repository master dev
- README
- Treebank hub page
- Download
This Universal Dependencies (UD) Japanese treebank is based on the definition of
UD Japanese convention described in the UD documentation.
The original sentences are from `Balanced Corpus of Contemporary Written Japanese'(BCCWJ).
- Contributors: Mai Omura, Masayuki Asahara, Yusuke Miyao, Takaaki Tanaka, Hiroshi Kanayama, Yuji Matsumoto, Shinsuke Mori, Sumire Uematsu, Yugo Murawaki
- Repository master dev
- README
- Treebank hub page
- Download
This Universal Dependencies (UD) Japanese treebank is based on the definition of
UD Japanese convention described in the UD documentation.
The original sentences are from `Corpus of Historical Japanese' (CHJ).
Please add a summary section to the treebank readme file
See
here for comparative statistics of Japanese treebanks.
Language documentation
See the
language documentation page.
Karelian
1
3K
Uralic, Finnic
Karelian treebanks
UD Karelian-KKPP is a manually annotated new corpus of Karelian made in
Universal dependencies annotation scheme. The data is collected from
[VepKar corpora](http://dictorpus.krc.karelia.ru/en/corpus/text) and consists of
mostly modern news texts but also some stories and educational texts.
Language documentation
See the
language documentation page.
Kazakh
1
10K
Turkic, Northwestern
Kazakh treebanks
The UD Kazakh treebank is a combination of text from various sources including Wikipedia, some folk tales,
sentences from the UDHR, news and phrasebook sentences. Sentences IDs include partial document identifiers.
Language documentation
The language hub documentation has not yet been created or ported from the UDv1 documentation.
Komi Permyak
1
<1K
Uralic, Permic
Komi Permyak treebanks
This is a Komi-Permyak literary language treebank consisting of original and translated texts.
Language documentation
See the
language documentation page.
Komi Zyrian
2
3K
Uralic, Permic
Komi Zyrian treebanks
UD Komi-Zyrian Lattice is a treebank of written standard Komi-Zyrian.
This treebank consists of dialectal transcriptions of spoken Komi-Zyrian. The current texts are short recorded segments from different areas where the Iźva dialect of Komi language is spoken.
See
here for comparative statistics of Komi Zyrian treebanks.
Language documentation
See the
language documentation page.
Korean
5
446K
Korean
Korean treebanks
The KAIST Korean Universal Dependency Treebank is generated by Chun et al., 2018 from the constituency trees in the [KAIST Tree-Tagging Corpus](http://semanticweb.kaist.ac.kr/home/index.php/Corpus4).
The Google Korean Universal Dependency Treebank is first converted from the [Universal
Dependency Treebank v2.0 (legacy)](https://github.com/ryanmcd/uni-dep-tb), and then enhanced by Chun et al., 2018.
This is a part of the Parallel Universal Dependencies (PUD) treebanks created
for the [CoNLL 2017 shared task on Multilingual Parsing from Raw Text to
Universal Dependencies](http://universaldependencies.org/conll17/).
- Contributors: Hans Uszkoreit, Vivien Macketanz, Aljoscha Burchardt, Kim Harris, Katrin Marheinecke, Slav Petrov, Tolga Kayadelen, Mohammed Attia, Ali Elkahky, Zhuoran Yu, Emily Pitler, Saran Lertpradit, Sookyoung Kwak, Yongseok Cho, Martin Popel, Daniel Zeman
- Repository master dev
- README
- Treebank hub page
- Download
Penn
-
... 1-2 sentences (see [release checklist](http://universaldependencies.org/release_checklist.html#the-readme-file) for README guidelines) ...
Sejong
-
Please add a summary section to the treebank readme file
See
here for comparative statistics of Korean treebanks.
Language documentation
The language hub documentation has not yet been created or ported from the UDv1 documentation.
Kurmanji
1
10K
IE, Iranian
Kurmanji treebanks
The UD Kurmanji corpus is a corpus of Kurmanji Kurdish. It contains fiction and encyclopaedic texts in
roughly equal measure. It has been annotated natively in accordance with the UD annotation scheme.
Language documentation
The language hub documentation has not yet been created or ported from the UDv1 documentation.
Latin
4
824K
IE, Latin
Latin treebanks
This Universal Dependencies version of the **LLCT** (Late Latin Charter Treebank) consists of an automated conversion of the **LLCT2** treebank from the Latin Dependency Treebank (LDT) format into the Universal Dependencies standard.
The Latin PROIEL treebank is based on the Latin data from the PROIEL treebank, and contains most of the Vulgate New Testament translations plus selections from Caesar's Gallic War, Cicero's Letters to Atticus, Palladius' Opus Agriculturae and the first book of Cicero's De officiis.
Latin data from the _Index Thomisticus_ Treebank. Data are taken from the _Index Thomisticus_ corpus by Roberto Busa SJ, which contains the complete work by Thomas Aquinas (1225–1274; Medieval Latin) and by 61 other authors related to Thomas.
This Universal Dependencies Latin Treebank consists of an automatic
conversion of a selection of passages from the Ancient Greek and Latin
Dependency Treebank 2.1
See
here for comparative statistics of Latin treebanks.
Language documentation
See the
language documentation page.
Latvian
1
220K
IE, Baltic
Latvian treebanks
Latvian UD Treebank is based on Latvian Treebank ([LVTB](http://sintakse.korpuss.lv)), being created at University of Latvia, Institute of Mathematics and Computer Science, [Artificial Intelligence Laboratory](http://ailab.lv).
Language documentation
See the
language documentation page.
Lithuanian
2
75K
IE, Baltic
Lithuanian treebanks
The Lithuanian dependency treebank ALKSNIS v3.0 (Vytautas Magnus University).
- Contributors: Andrius Utka, Erika Rimkutė, Agnė Bielinskienė, Jolanta Kovalevskaitė, Loïc Boizou, Gabrielė Aleksandravičiūtė, Kristina Brokaitė, Daniel Zeman
- Repository master dev
- README
- Treebank hub page
- Download
Lithuanian treebank annotated manually (dependencies) using the Morphological Annotator by CCL, Vytautas Magnus University (http://tekstynas.vdu.lt/) and manual disambiguation.
A pilot version which includes news and an essay by Tomas Venclova is available here.
See
here for comparative statistics of Lithuanian treebanks.
Language documentation
See the
language documentation page.
Livvi
1
1K
Uralic, Finnic
Livvi treebanks
UD Livvi-KKPP is a manually annotated new corpus of Livvi-Karelian made directly
in the Universal dependencies annotation scheme. The data is collected from
[VepKar corpora](http://dictorpus.krc.karelia.ru/en/corpus/text) and consists of
mostly modern news texts but also some stories and educational texts.
Language documentation
See the
language documentation page.
Magahi
1
7K
IE, Indic
Magahi treebanks
The [Magahi](https://en.wikipedia.org/wiki/Magahi_language) UD Treebank (MGTB) is a part of the [Universal Dependency treebank](http://universaldependencies.org/) project.
Language documentation
The language hub documentation has not yet been created or ported from the UDv1 documentation.
Maltese
1
44K
Afro-Asiatic, Semitic
Maltese treebanks
MUDT (Maltese Universal Dependencies Treebank) is a manually annotated treebank of Maltese, a Semitic language of Malta descended from North African Arabic with a significant amount of Italo-Romance influence.
MUDT was designed as a balanced corpus with four major genres (see Splitting below) represented roughly equally.
Language documentation
See the
language documentation page.
Marathi
1
3K
IE, Indic
Marathi treebanks
UD Marathi is a manually annotated treebank consisting primarily of stories from Wikisource, and parts of an article on Wikipedia.
Language documentation
The language hub documentation has not yet been created or ported from the UDv1 documentation.
Mbya Guarani
2
13K
Tupian
Mbya Guarani treebanks
UD Mbya_Guarani-Thomas is a corpus of Mbyá Guaraní (Tupian) texts collected by Guillaume Thomas. The current version of the corpus consists of three speeches by Paulina Kerechu Núñez Romero, a Mbyá Guaraní speaker from Ytu, Caazapá Department, Paraguay.
UD Mbya_Guarani-Dooley is a corpus of narratives written in Mbyá Guaraní (Tupian) in Brazil, and collected by Robert Dooley. Due to copyright restrictions, the corpus that is distributed as part of UD only contains the annotation (tags, features, relations) while the FORM and LEMMA columns are empty.
See
here for comparative statistics of Mbya Guarani treebanks.
Language documentation
See the
language documentation page.
Moksha
1
1K
Uralic, Mordvin
Moksha treebanks
Erme Universal Dependencies annotated texts Moksha are the origin of UD_Moksha-JR with annotation (CoNLL-U) for texts in the Moksha language,
it originally consists of a sample from a number of fiction authors writing originals in Moksha.
Language documentation
See the
language documentation page.
Naija
1
126K
Creole
Naija treebanks
A Universal Dependencies corpus for spoken Naija (Nigerian Pidgin).
Language documentation
See the
language documentation page.
North Sami
1
26K
Uralic, Sami
North Sami treebanks
This is a North Sámi treebank based on a manually disambiguated and function-labelled gold-standard
corpus of North Sámi produced by the Giellatekno team at UiT Norgga árktalaš universitehta.
Language documentation
The language hub documentation has not yet been created or ported from the UDv1 documentation.
Norwegian
3
666K
IE, Germanic
Norwegian treebanks
The Norwegian UD treebank is based on the Bokmål section of the Norwegian
Dependency Treebank (NDT), which is a syntactic treebank of Norwegian. NDT has been automatically converted to the UD
scheme by Lilja Øvrelid at the University of Oslo.
The Norwegian UD treebank is based on the Nynorsk section of the Norwegian
Dependency Treebank (NDT), which is a syntactic treebank of Norwegian.
NDT has been automatically converted to the UD
scheme by Lilja Øvrelid at the University of Oslo.
This Norwegian treebank is based on the LIA treebank of transcribed spoken Norwegian dialects.
The treebank has been automatically converted to the UD scheme by Lilja Øvrelid at the University of Oslo.
See
here for comparative statistics of Norwegian treebanks.
Language documentation
The language hub documentation has not yet been created or ported from the UDv1 documentation.
Old Church Slavonic
1
57K
IE, Slavic
Old Church Slavonic treebanks
The Old Church Slavonic (OCS) UD treebank is based on the Old Church Slavonic data from the PROIEL treebank and contains the text of the Codex Marianus New Testament translation.
Language documentation
The language hub documentation has not yet been created or ported from the UDv1 documentation.
Old French
1
170K
IE, Romance
Old French treebanks
UD_Old_French-SRCMF is a conversion of (part of) the SRCMF corpus (Syntactic Reference Corpus of
Medieval French [srcmf.org](http://srcmf.org/)).
- Contributors: Sophie Prévost, Aurélie Collomb, Kim Gerdes, Isabelle Tellier, Marine Courtin, Alexei Lavrentiev, Céline Guillot-Barbance, Loïc Grobol
- Repository master dev
- README
- Treebank hub page
- Download
Language documentation
See the
language documentation page.
Old Irish
2
<1K
IE, Celtic
Old Irish treebanks
Annotation of the classic Scela Mucce Meic Dathó ("The tale of Mac Dathó's pig").
DipSGG
-
... 1-2 sentences (see [release checklist](http://universaldependencies.org/release_checklist.html#the-readme-file) for README guidelines) ...
Language documentation
The language hub documentation has not yet been created or ported from the UDv1 documentation.
Old Russian
2
180K
IE, Slavic
Old Russian treebanks
`UD_Old_Russian-RNC` is a sample of the Middle Russian corpus (1300-1700), a part of the Russian National Corpus. The data were originally annotated according to the RNC and extended UD-Russian morphological schemas and UD 2.4 dependency schema.
UD\_Old\_Russian-TOROT is a conversion of a selection of the Old East Slavonic and Middle Russian data in the Tromsø Old Russian and OCS Treebank (TOROT), which was originally annotated in PROIEL dependency format.
See
here for comparative statistics of Old Russian treebanks.
Language documentation
See the
language documentation page.
Persian
1
152K
IE, Iranian
Persian treebanks
The Persian Universal Dependency Treebank (Persian UD) is based on Uppsala Persian Dependency Treebank (UPDT). The conversion of the UPDT to the Universal Dependencies was performed semi-automatically with extensive manual checks and corrections.
Language documentation
The language hub documentation has not yet been created or ported from the UDv1 documentation.
Polish
3
499K
IE, Slavic
Polish treebanks
The Polish PDB-UD treebank is based on the Polish Dependency Bank 2.0 (PDB 2.0), created at the Institute of Computer Science, Polish Academy of Sciences in Warsaw. The PDB-UD treebank is an extended and corrected version of the Polish SZ-UD treebank (the release 1.2 to 2.3).
The LFG Enhanced UD treebank of Polish is based on a corpus of LFG (Lexical Functional Grammar) syntactic structures generated by an LFG grammar of Polish, POLFIE, and manually disambiguated by human annotators.
This is the Polish portion of the Parallel Universal Dependencies (PUD) treebanks, created at the Institute of Computer Science, Polish Academy of Sciences in Warsaw.Re
See
here for comparative statistics of Polish treebanks.
Language documentation
See the
language documentation page.
Portuguese
3
571K
IE, Romance
Portuguese treebanks
This Universal Dependencies (UD) Portuguese treebank is based on the
Constraint Grammar converted version of the Bosque, which is part of
the Floresta Sintá(c)tica treebank. It contains both European
(CETEMPúblico) and Brazilian (CETENFolha) variants.
- Contributors: Alexandre Rademaker, Cláudia Freitas, Elvis de Souza, Aline Silveira, Tatiana Cavalcanti, Wograine Evelyn, Luisa Rocha, Isabela Soares-Bastos, Eckhard Bick, Fabricio Chalub, Guilherme Paulino-Passos, Livy Real, Valeria de Paiva, Daniel Zeman, Martin Popel, David Mareček, Natalia Silveira, André Martins
- Repository master dev
- README
- Treebank hub page
- Download
The Brazilian Portuguese UD is converted from the [Google Universal Dependency
Treebank v2.0 (legacy)](https://github.com/ryanmcd/uni-dep-tb).
This is a part of the Parallel Universal Dependencies (PUD) treebanks created
for the [CoNLL 2017 shared task on Multilingual Parsing from Raw Text to
Universal Dependencies](http://universaldependencies.org/conll17/).
- Contributors: Hans Uszkoreit, Vivien Macketanz, Aljoscha Burchardt, Kim Harris, Katrin Marheinecke, Slav Petrov, Tolga Kayadelen, Mohammed Attia, Ali Elkahky, Zhuoran Yu, Emily Pitler, Saran Lertpradit, Gustavo Mendonça, Larissa Rinaldi, Martin Popel, Daniel Zeman, Valeria de Paiva
- Repository master dev
- README
- Treebank hub page
- Download
See
here for comparative statistics of Portuguese treebanks.
Language documentation
See the
language documentation page.
Romanian
3
683K
IE, Romance
Romanian treebanks
The Romanian Non-standard UD treebank (called UAIC-RoDia) is based on UAIC-RoDia Treebank. UAIC-RoDia = ISLRN 156-635-615-024-0
- Contributors: Cătălina Mărănduc, Cenel-Augusto Perez, Victoria Bobicev, Cătălin Mititelu, Florinel Hociung, Valentin Roșca, Roman Untilov, Petru Rebeja
- Repository master dev
- README
- Treebank hub page
- Download
SiMoNERo is a medical corpus of contemporary Romanian.
The Romanian UD treebank (called RoRefTrees) (Barbu Mititelu et al., 2016) is the reference treebank in UD format for standard Romanian.
See
here for comparative statistics of Romanian treebanks.
Language documentation
See the
language documentation page.
Russian
4
1,289K
IE, Slavic
Russian treebanks
Russian Universal Dependencies Treebank annotated and converted by Google.
Universal Dependencies treebank is based on data samples extracted from Taiga Corpus and MorphoRuEval-2017 and GramEval-2020 shared tasks collections.
This is a part of the Parallel Universal Dependencies (PUD) treebanks created
for the [CoNLL 2017 shared task on Multilingual Parsing from Raw Text to
Universal Dependencies](http://universaldependencies.org/conll17/).
- Contributors: Hans Uszkoreit, Vivien Macketanz, Aljoscha Burchardt, Kim Harris, Katrin Marheinecke, Slav Petrov, Tolga Kayadelen, Mohammed Attia, Ali Elkahky, Zhuoran Yu, Emily Pitler, Saran Lertpradit, Tatiana Lando, Olga Loginova, Martin Popel, Daniel Zeman, Kira Droganova
- Repository master dev
- README
- Treebank hub page
- Download
Russian data from the SynTagRus corpus.
See
here for comparative statistics of Russian treebanks.
Language documentation
See the
language documentation page.
Sanskrit
2
28K
IE, Indic
Sanskrit treebanks
A small Sanskrit treebank of sentences from Pañcatantra, an ancient Indian
collection of interrelated fables by Vishnu Sharma.
The Treebank of Vedic Sanskrit contains 4,000 sentences with 27,000 words chosen from metrical and prose passages of the Ṛgveda (RV), the Śaunaka recension of the Atharvaveda (ŚS), the Maitrāyaṇīsaṃhitā (MS), and the Aitareya- (AB) and Śatapatha-Brāhmaṇas (ŚB).
Lexical and morpho-syntactic information has been generated using a tagging software and manually validated.
POS tags have been induced automatically from the morpho-sytactic information of each word.
See
here for comparative statistics of Sanskrit treebanks.
Language documentation
See the
language documentation page.
Scottish Gaelic
1
42K
IE, Celtic
Scottish Gaelic treebanks
A treebank of Scottish Gaelic based on the
[Annotated Reference Corpus Of Scottish Gaelic (ARCOSG)](https://github.com/Gaelic-Algorithmic-Research-Group/ARCOSG).
Language documentation
See the
language documentation page.
Serbian
1
97K
IE, Slavic
Serbian treebanks
The Serbian UD treebank is based on the [SETimes-SR](http://hdl.handle.net/11356/1200) corpus and
additional news documents from the Serbian web.
Language documentation
See the
language documentation page.
Sindhi
1
6K
IE, Indic
Sindhi treebanks
The Sindhi Universal Dependency Treebank was automatically converted from Sindhi Dependency Treebank (SDTB) which is part of an ongoing effort of creating multi-layered treebanks for Sindhi.
Language documentation
The language hub documentation has not yet been created or ported from the UDv1 documentation.
Skolt Sami
1
1K
Uralic, Sami
Skolt Sami treebanks
The UD Skolt Sami Giellagas treebank is based almost entirely on spoken Skolt Sami corpora.
Language documentation
See the
language documentation page.
Slovak
1
106K
IE, Slavic
Slovak treebanks
The Slovak UD treebank is based on data originally annotated as part of the
Slovak National Corpus, following the annotation style of the Prague
Dependency Treebank.
Language documentation
See the
language documentation page.
Slovenian
2
170K
IE, Slavic
Slovenian treebanks
The Slovenian UD Treebank is a rule-based conversion of the ssj500k
treebank, the largest collection of manually syntactically annotated
data in Slovenian, originally annotated in the JOS annotation scheme.
The Spoken Slovenian UD Treebank (SST) is the first syntactically annotated corpus of spoken Slovenian, based on a sample of the reference GOS corpus, a collection of transcribed audio recordings of monologic, dialogic and multi-party spontaneous speech in different everyday situations.
See
here for comparative statistics of Slovenian treebanks.
Language documentation
See the
language documentation page.
Spanish
3
1,004K
IE, Romance
Spanish treebanks
Spanish data from the AnCora corpus.
The Spanish UD is converted from the content head version of the [universal
dependency treebank v2.0 (legacy)](https://github.com/ryanmcd/uni-dep-tb).
This is a part of the Parallel Universal Dependencies (PUD) treebanks created
for the [CoNLL 2017 shared task on Multilingual Parsing from Raw Text to
Universal Dependencies](http://universaldependencies.org/conll17/).
- Contributors: Hans Uszkoreit, Vivien Macketanz, Aljoscha Burchardt, Kim Harris, Katrin Marheinecke, Slav Petrov, Tolga Kayadelen, Mohammed Attia, Ali Elkahky, Zhuoran Yu, Emily Pitler, Saran Lertpradit, Hector Fernandez Alcalde, Laura Moreno Romero, Martin Popel, Daniel Zeman, Héctor Martínez Alonso
- Repository master dev
- README
- Treebank hub page
- Download
See
here for comparative statistics of Spanish treebanks.
Language documentation
See the
language documentation page.
Swedish
3
206K
IE, Germanic
Swedish treebanks
The Swedish-Talbanken treebank is based on Talbanken, a treebank developed at Lund University
in the 1970s.
UD Swedish_LinES is the Swedish half of the LinES Parallel Treebank with UD annotations.
All segments are translations from English and the sources cover literary genres, online
manuals and Europarl data.
Swedish-PUD is the Swedish part of the Parallel Universal Dependencies (PUD) treebanks.
See
here for comparative statistics of Swedish treebanks.
Language documentation
See the
language documentation page.
Swedish Sign Language
1
1K
Sign Language
Swedish Sign Language treebanks
The Universal Dependencies treebank for Swedish Sign Language (ISO 639-3: swl)
is derived from the Swedish Sign Language Corpus (SSLC) from the department of
linguistics, Stockholm University.
Language documentation
The language hub documentation has not yet been created or ported from the UDv1 documentation.
Swiss German
1
1K
IE, Germanic
Swiss German treebanks
_UD\_Swiss\_German-UZH_ is a tiny manually annotated treebank of 100 sentences in different Swiss German dialects and a variety of text genres.
Language documentation
See the
language documentation page.
Tagalog
2
1K
Austronesian, Central Philippine
Tagalog treebanks
Ugnayan is a manually annotated Tagalog treebank currently composed of educational fiction and nonfiction text. The treebank is under development at the University of the Philippines.
UD_Tagalog-TRG is a UD treebank manually annotated using sentences from a grammar book.
See
here for comparative statistics of Tagalog treebanks.
Language documentation
See the
language documentation page.
Tamil
1
9K
Dravidian, Southern
Tamil treebanks
The UD Tamil treebank is based on the Tamil Dependency Treebank created at the
Charles University in Prague by Loganathan Ramasamy.
Language documentation
See the
language documentation page.
Telugu
1
6K
Dravidian, South Central
Telugu treebanks
The Telugu UD treebank is created in UD based on manual annotations of sentences from a grammar book.
Language documentation
The language hub documentation has not yet been created or ported from the UDv1 documentation.
Thai
1
22K
Tai-Kadai
Thai treebanks
This is a part of the Parallel Universal Dependencies (PUD) treebanks created
for the [CoNLL 2017 shared task on Multilingual Parsing from Raw Text to
Universal Dependencies](http://universaldependencies.org/conll17/).
- Contributors: Hans Uszkoreit, Vivien Macketanz, Aljoscha Burchardt, Kim Harris, Katrin Marheinecke, Slav Petrov, Tolga Kayadelen, Mohammed Attia, Ali Elkahky, Zhuoran Yu, Emily Pitler, Saran Lertpradit, Rattima Nitisaroj, Yanin Sawanakunanon, Martin Popel, Daniel Zeman
- Repository master dev
- README
- Treebank hub page
- Download
Language documentation
The language hub documentation has not yet been created or ported from the UDv1 documentation.
Turkish
4
91K
Turkic, Southwestern
Turkish treebanks
This is a treebank annotating example sentences from a comprehensive grammar book of Turkish.
This is a part of the Parallel Universal Dependencies (PUD) treebanks created
for the [CoNLL 2017 shared task on Multilingual Parsing from Raw Text to
Universal Dependencies](http://universaldependencies.org/conll17/).
- Contributors: Hans Uszkoreit, Vivien Macketanz, Aljoscha Burchardt, Kim Harris, Katrin Marheinecke, Slav Petrov, Tolga Kayadelen, Mohammed Attia, Ali Elkahky, Zhuoran Yu, Emily Pitler, Saran Lertpradit, Savas Cetin, Martin Popel, Daniel Zeman, Francis Tyers, Çağrı Çöltekin, Utku Türk, Furkan Atmaca, Şaziye Betül Özateş, Abdullatif Köksal, Balkız Öztürk Başaran, Tunga Güngör, Arzucan Özgür
- Repository master dev
- README
- Treebank hub page
- Download
The UD Turkish Treebank, also called the IMST-UD Treebank, is a semi-automatic conversion of the IMST Treebank (Sulubacak et al., 2016).
BOUN
-
A Turkish treebank annotated at the Boğaziçi University.
See
here for comparative statistics of Turkish treebanks.
Language documentation
See the
language documentation page.
Ukrainian
1
122K
IE, Slavic
Ukrainian treebanks
Gold standard Universal Dependencies corpus for Ukrainian, developed for UD originally, by [Institute for Ukrainian](https://mova.institute), NGO.
[[українською](https://mova.institute/золотий_стандарт)]
Language documentation
The language hub documentation has not yet been created or ported from the UDv1 documentation.
Upper Sorbian
1
11K
IE, Slavic
Upper Sorbian treebanks
A small treebank of Upper Sorbian based mostly on Wikipedia.
Language documentation
See the
language documentation page.
Urdu
1
138K
IE, Indic
Urdu treebanks
The Urdu Universal Dependency Treebank was automatically converted from Urdu Dependency Treebank (UDTB) which is part of an ongoing effort of creating multi-layered treebanks for Hindi and Urdu.
Language documentation
See the
language documentation page.
Uyghur
1
40K
Turkic, Southeastern
Uyghur treebanks
The Uyghur UD treebank is based on the Uyghur Dependency Treebank (UDT),
created at the Xinjiang University in Ürümqi, China.
Language documentation
The language hub documentation has not yet been created or ported from the UDv1 documentation.
Vietnamese
1
43K
Austro-Asiatic, Viet-Muong
Vietnamese treebanks
The Vietnamese UD treebank is a conversion of the constituent treebank created in the VLSP project
(https://vlsp.hpda.vn/).
Language documentation
The language hub documentation has not yet been created or ported from the UDv1 documentation.
Warlpiri
1
<1K
Pama-Nyungan
Warlpiri treebanks
A small treebank of grammatical examples in Warlpiri, taken from linguistic literature.
Language documentation
See the
language documentation page.
Welsh
1
30K
IE, Celtic
Welsh treebanks
UD Welsh-CCG (Corpws Cystrawennol y Gymraeg) is a treebank of Welsh,
annotated according to the Universal Dependencies guidelines.
Language documentation
See the
language documentation page.
Wolof
1
44K
Niger-Congo, Northern Atlantic
Wolof treebanks
UD_Wolof-WTB is a natively manual developed treebank for Wolof. Sentences were collected from encyclopedic, fictional, biographical, religious texts and news.
Language documentation
See the
language documentation page.
Yoruba
1
8K
Niger-Congo, Defoid
Yoruba treebanks
Parts of the Yoruba Bible and of the Yoruba edition of Wikipedia, hand-annotated natively in Universal Dependencies.
Language documentation
See the
language documentation page.


No AC. 19917891
ಕರ್ನಾಟಕ
ಕರ್ನಾಟಕ
GOVERNMENT OF KARNATAKA
ತಾಂತ್ರಿಕ ಶಿಕ್ಷಣ ಇಲಾಖೆ ಬೆಂಗಳೂರು.
DEPARTMENT OF TECHNICAL EDUCATION BENGALURU
ತಾಂತ್ರಿಕ ಪರೀಕ್ಷಾ ಮಂಡಳಿ
BOARD OF TECHNICAL EXAMINATION
STATEMENT OF MARKS
FIRST SEMESTER EXAMINATION April/May -2019
MC No. 19917891
Programme
Name of Candidate
Father's Name
Mother's Name
Name of Institution
Date of Result
:ME - MECHANICAL ENGINEERINGm
:SANJAY N
:NANJAIAH P K
:RAJESHWARI AG
:413- M, N TECH INST KAMMAGONDANAHALLY BANGALORE
:21/06/2019
| Sl. No. | QP Code & COURSE TITLE | Semester End Examination (SEE) | Continuous Internal Evaluation (CIE) | Total Marks | Course Result (9) | Course credit(10) | |||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Max Marks(1) | Min Marks(2) | Obtend Mabr>(3) | Max Marks(4) | Marks Obtbr>(5) | Max Marks(6) | Min Marks(7) | Marks Obtend(8) | ||||
| 3 | 15ME11T WORK SHOP TECHNOLOGY | ||||||||||
| 3 | 15ME11T WORK SHOP TECHNOLOGY | 35 | 25 | 25 | 14 | 125 | 45 | 39 | F | 0 | |
| 4 | 15ME11T ENGINEERING GRAPHICS-I | 100 | 35 | 42 | 25 | 12 | 125 | 45 | 54 | P | 3 |
| 5 | 15ME13P HCG AS | ||||||||||
| 6 | 15ME14P BASIC W/S PRACTICE | ||||||||||
| GRAND TOTAL | 300 | 86 | 75 | 43 | 375 | 129 | |||||
| Total in Words: ONE HUNDRED TWENTY NINE ONLY | |||||||||||
| Result Failed in 2 Subject(s) | |||||||||||
| BRIDGE COURSES (For Laterat antry Students only) & KANNADA COURSE (for all students) | |||||||||||
| Sl. No. | QR Code & COURSE TITLE | (1) | (2) | (3) | (4) | (5) | (6) | (7) | (8) | (9) | (10) |
Printed on : 24-02-2020
                Secretary
Board of Technical Examination
                Bengaluru


Issue: DOTIMES-IGNOREForum: Cleanup
References: DOLIST (p126), DOTIMES (p126-128), IGNORE (p160),
LOOP (X3J13/89-004), DO-SYMBOLS (p187), DO-ALL-SYMBOLS (p188),
DO-EXTERNAL-SYMBOLS (p187), DO (pp122-126), DO* (pp122-126)
Category: CLARIFICATION
Edit history: 20-Jul-90, Version 1 by Pitman
06-Mar-91, Version 2 by Pitman
15-Mar-91, Version 3 by Pitman
Status: For Internal Discussion
Problem Description:
The IGNORE declaration is described in terms of whether a variable is
`used'. But what constitutes a use? Several iteration primitives are
described as macros, and the nature of the expansion is not well
enough specified for the answer to this question to be easily
determined.
Consider:
Is A used? Would it be appropriate to write:
(DOTIMES (A 3) (DECLARE (IGNORE A)) (PRINT 'FOO))
In some implementations, this would seem to be desirable, while in
other implementations it would seem undesirable.
In some implementations, such as an older Genera release, when the
compiler sees an IGNORE declaration, it `commits' the fact that the
variable will not be used and sometimes cannot later back out and
produce a successful compilation when this assumption is later realized
to be wrong in the process of code-walking. Because such a program
is technically in error, this is a conforming situation. But it
means that the choice of whether to use IGNORE or not has potential
semantic impact.
This issue started out as being just about DOTIMES (hence the name)
but has been generalized to include all CL iteration forms.
Terminology:
For the purposes of this issue, the following terminology applies:
An "explicit use of a variable in a form" is a use that would be
apparent in the normal semantics of the form. That is, if all
subforms of that form were macroexpanded, but the form itself were
not. [This isn't how an implementation has to detect an explicit
form; it's just a definition of what explicit use means. The intent
is that an explicit use be one which does not expose any undocumented
details of the form's macro expansion (if the form is in fact a macro).]
An "iteration form" means a DOLIST, DOTIMES, LOOP, DO-SYMBOLS,
DO-ALL-SYMBOLS, DO-EXTERNAL-SYMBOLS, DO, or DO* form.
An "iteration variable" is a variable which is "explicitly used"
as a variable to be bound by by an "iteration form".
Voting Instructions:
Proposals which have a "+" in their name are compatible with any
other proposals, and may be voted in addition to the other proposals.
Proposal (DOTIMES-IGNORE:NEVER):
Clarify that iteration variables are, by definition, always `used'.
That is, clarify that using
for such an iteration variable has undefined consequences.
Rationale:
This is analagous to the situation in DEFMETHOD where a specialized
required argument is considered a use of the argument.
Example:
;; The following would be correct and should not be warned about.
(DOTIMES (I 5)
(PRINT 'FOO))
;; The following would not be correct and might be warned about.
(DOTIMES (I 5)
(PRINT 'FOO))
Proposal (DOTIMES-IGNORE:UNLESS-EXPLICIT):
Clarify that unless an variable in an iteration form is explicitly
used in the form which binds it, it might be considered "unused" by
the implementation, and that it is always permissible to use
for such a unused variable.
Rationale:
This doesn't force users to think about the macro expansion and tends
to treat iteration variables more like variables bound by LET, LET*,
and LAMBDA.
Example:
;; The following would be correct and should not be warned about.
(DOTIMES (I 5)
(PRINT 'FOO))
;; The following would not be correct and might be warned about.
(DOTIMES (I 5)
(PRINT 'FOO))
Proposal (DOTIMES-IGNORE:INVISIBLE-REFERENCES):
Introduce a macro
WITH-INVISIBLE-REFERENCES ({vars}*) {forms}* [Macro]
Within the context of this macro, any uses of the <vars> are not
regarded as `uses' of the <vars> for the purposes of compiler warnings.
Clarify that macros like DOTIMES which expand into code which do
invisible computations on user-supplied variables must do the equivalent
of wrapping WITH-INVISIBLE-REFERNCES around those invisible uses, so that
those uses will not be counted as uses.
Rationale:
This makes the mechanism for invisible uses available to users so that they
can write forms like DOTIMES which manipulate user-supplied variables
and yet warn about lack of explicit use of those variables.
Example:
;; The following would be correct and should not be warned about.
(DOTIMES (I 5)
(PRINT 'FOO))
;; The following would not be correct and might be warned about.
(DOTIMES (I 5)
(PRINT 'FOO))
;; The following would be correct. User might be warned that X
;; is not used. (This is a pathological case which wouldn't be a
;; normal use. For a `real' use see the expansion of DOTIMES in
;; the Symbolics Genera current practice.)
(LET ((X 3))
(WITH-INVISIBLE-REFERENCES (X) (INCF X) (PRINT X))
0)
4
=> 0
Proposal (DOTIMES-IGNORE:+IGNORE-FUNCTION):
Introduce a function
IGNORE &REST IGNORE [Function]
Accepts any number of arguments and returns NIL.
Function calls to IGNORE can effectively be optimized away by a compiler,
except where side-effects might occur. That is, (IGNORE X #'Y (Z)) is
equivalent to (PROGN X #'Y (Z) NIL), but is more perspicuous about the
user's intent to identify ignored items.
Rationale:
This leaves the original problem in place but provides a compromise
that people can learn to use. It also has the side benefit of providing
an obvious syntax for `ignorable' variables introduced by some macros.
It also provides an obvious syntax for ignoring FLET'd items.
Example:
;; The following might or might not be correct and might be warned about.
(DOTIMES (I 5)
(PRINT 'FOO))
(DOTIMES (I 5)
(PRINT 'FOO))
;; The following would not be warned about.
(DOTIMES (I 5)
(IGNORE I)
(PRINT 'FOO))
Proposal (DOTIMES-IGNORE:+STYLE-WARNING):
Clarify that any `unused variable' warning must be a STYLE-WARNING, and
may not affect program semantics.
Rationale:
This is similar to STATUS-QUO, but at least insures that the issue has
no semantic impact on code.
Example:
;; The following might or might not be correct and might be warned about
;; but could be suppressed in a context where style warnings were
;; suppressable. In either case, correct code would be generated.
(DOTIMES (I 5)
(PRINT 'FOO))
(DOTIMES (I 5)
(PRINT 'FOO))
Proposal (DOTIMES-IGNORE:+NEW-DECLARATION):
Introduce a new declaration, IGNORABLE, similar to IGNORE, except that
it means that the variable might or might not be used, but that in
neither case should a warning be issued.
Rationale:
A lot of people have asked for this. e.g., it would be useful for
places where variables pop out of nowhere due to the presence of some
macro. e.g., in New Flavors (think of it as a user program from the
point of view of this proposal) the variable SELF magically appears in a
DEFMETHOD. The definition of FLAVOR:DEFMETHOD might, therefore, want
to declare SELF to be IGNORABLE since not all Flavors' DEFMETHOD forms
actually use this.
Example:
Given...
(DEFMACRO WITH-FOO (X &BODY STUFF)
`(LET ((FOO (FROB ,X)))
,@STUFF))
Neither of the following two uses would be warned about:
(WITH-FOO (F) (G))
or (WITH-FOO (F) (H FOO))
Proposal (DOTIMES-IGNORE:+FUNCTION-DECLARATIONS):
Permit the IGNORE (and IGNORABLE, if it passes--see proposal
+NEW-DECLARATION) declarations to contain references to #'name
in order to refer to a function name instead of a variable name.
Rationale:
This would be useful, for example, in the expansion of DEFMETHOD
in order to declare that CALL-NEXT-METHOD and NEXT-METHOD-P might
or might not be used, but that no warning should be produced in
either case. Some user programs presumably have similar needs.
Example:
`(... (FLET ((CALL-NEXT-METHOD ...)
(NEXT-METHOD-P ...))
(DECLARE (IGNORABLE #'CALL-NEXT-METHOD
#'NEXT-METHOD-P))
...)))
Proposal (DOTIMES-IGNORE:STATUS-QUO):
Accept the fact that the use of (DECLARE (IGNORE ...)) for an iteration
variable will always cause a warning in some implementations and that
the failure to use it will always cause a warning in some other
implementations. The net effect of this will be that no code which uses
any iteration primitive, DO, LOOP, or otherwise without using all iteration
variables explicitly will be free from gratuitous whining of at least
some compilers. Since the presence of
is sometimes fatal to some compilers, people will learn to live without it,
or will introduce creative other ways to `use' the variable to muffle the
warnings, sometimes at a performance penalty.
Rationale:
Implements the status quo.
Example:
;; The following might or might not be correct and might be warned about.
(DOTIMES (I 5)
(PRINT 'FOO))
(DOTIMES (I 5)
(PRINT 'FOO))
Test Case:
(DEFUN COMPILER-WARNINGS-P (BODIES &OPTIONAL (FLAG NIL))
(FLET ((TRY (BODY)
(WITH-OUTPUT-TO-STRING (*ERROR-OUTPUT*)
(COMPILE NIL `(LAMBDA ,@BODY)))))
(IF FLAG WARNING (> (LENGTH WARNING) 0)))))
(LIST (TRY BODY)
#'(LAMBDA (X)
(CADR BODY)))))))
BODIES))
(DEFUN TEST-CASE ()
(COMPILER-WARNINGS-P
'(((X) (DOTIMES (A X) (DECLARE (IGNORE A)) (PRINT 'FOO)))
((X) (DOLIST (A X) (DECLARE (IGNORE A)) (PRINT 'FOO)))
((X) (DO-SYMBOLS (S X) (DECLARE (IGNORE S)) (PRINT 'FOO)))
((X) (DO-EXTERNAL-SYMBOLS (S X) (DECLARE (IGNORE S)) (PRINT 'FOO)))
(() (DO-ALL-SYMBOLS (S) (DECLARE (IGNORE S)) (PRINT 'FOO)))
((X) (LOOP FOR I IN X DO (DECLARE (IGNORE I)) (PRINT 'FOO)))
((X) (LOOP FOR L ON X DO (DECLARE (IGNORE L)) (PRINT 'FOO)))
((X) (DO ((L X X)) (NIL) (DECLARE (IGNORE L)) (PRINT 'FOO)))
((X) (DO* ((L X X)) (NIL) (DECLARE (IGNORE L)) (PRINT 'FOO))))))
Current Practice:
Symbolics Genera implements INVISIBLE-REFERENCES (except that the
macro is called COMPILER:INVISIBLE-REFERENCES) and by implication
it implements UNLESS-EXPLICIT and STATUS-QUO. It also implements
+IGNORE-FUNCTION, and probably implements +STYLE-WARNING.
Test case results...
Symbolics Genera 8.0.1: ((NIL T) (T T ) (T NIL) (T NIL) (T NIL)
(T T) (T T ) (T T ) (T T ))
Symbolics Genera 8.1: ((NIL T) (NIL T) (T NIL) (T NIL) (T NIL)
(T T) (T T) (T T ) (T T ))
Symbolics Cloe: ((NIL T) (T T ) (NIL NIL) (T NIL) (T T )
(T T) (T NIL) (T T ) (T T ))
In Symbolics Genera, the macroexpansion of (DOTIMES (A 3) (PRINT 'FOO)) is:
(PROG ((A 0))
#:G1689 (PRINT 'FOO)
(COMPILER:INVISIBLE-REFERENCES (A)
(< A 3))
Cost to Implementors:
NEVER: Relatively small. It's straightforward for macros to add a few
spurious additional references in order to assure that no unused warnings
occur.
UNLESS-EXPLICIT: Medium. This is similar to INVISIBLE-REFERENCES, but
it allows for alternate implementations with equivalent effect because
it doesn't publish the interface.
+IGNORE-FUNCTION: Relatively small.
+NEW-DECLARATION: None to medium. This involves some compiler work,
the amount of which may vary, for implementations that do enough
bookkeeping for it to matter. Implementations which don't ever warn
can just ignore this, of course.
+FUNCTION-DECLARATIONS: Probably relatively small.
INVISIBLE-REFERENCES: None to Medium. This probably involves some
compiler hacking for implementations who care to do this kind of
warning. Strictly, an implementation could simply never warn, and then
this would be free, but some implementations have already established
a precedent of warning, so their customers would probably insist that
they did the work to make warnings continue to work in places where
they were called for.
STATUS-QUO: None.
Cost to Users:
NEVER: Relatively small.
UNLESS-EXPLICIT: Relatively small.
+IGNORE-FUNCTION: Relatively small.
+NEW-DECLARATION: None.
+FUNCTION-DECLARATIONS: None.
INVISIBLE-REFERENCES: Relatively small.
STATUS-QUO: Potentially large nuisance value and medium amount of work
for some users.
When porting to a new platform, you get a lot of warnings. Sometimes
the warnings are useful, sometimes they are not. The worst part is
if they are not useful and you just want to ignore them but you can't
because there are other warnings you want to see and you don't have the
ability to turn off just these warnings. So over and over you have to
wade through these warnings just to get to the others.
Cost of Non-Adoption:
See cost of option STATUS-QUO.
Benefits:
Users don't have to guess about important aspects of language semantics.
Aesthetics:
Proposals NEVER, UNLESS-EXPLICIT, +IGNORE-FUNCTION, +NEW-DECLARATION,
+FUNCTION-DECLARATIONS, and INVISIBLE-REFERENCES definitely improve the
aesthetics in the sense that they give the user the power to make the
code mean a particular thing, rather than leaving it to the discretion
of the implementation what the user meant.
Proposal STATUS-QUO is not aesthetic.
Discussion:
Pitman thinks that anything but STATUS-QUO is livable, but has a
preference for either INVISIBLE-REFERENCES or NEVER. He thinks
any of +IGNORE-FUNCTION, +NEW-DECLARATION, and +FUNCTION-DECLARATIONS
would be nice additions, too.
Dalton is on record as opposing a WITH-INVISIBLE-REFERENCES macro
and an IGNORABLE declaration (see below), but he hasn't seen this
specific proposal (which admittedly isn't likely to change his mind).
Several Symbolics customers have complained about portability
problems due to this lack of specificity.
 I never really was able to get it right,
and it ended up showing through to the users.''
JonL White said of mail from Dalton in a much longer discussion:
``he claims that DECLARE-IGNORE is *not* just friendly,
optional advice to the compiler, but assertions about
the program. I may disagree with him, but I can certainly
sympathesize with his viewpoint. This issue in general
-- what *must* declarations do -- is a serious one.''
Margolin said ``We're past the deadline for making significant changes
in the language. We're trying to get the standard edited now. At this
time we shouldn't be making changes unless they fix real language
bugs. I personally don't feel that a style warning is sufficient
justification for a change to the semantics of DOTIMES.'' RWK
responded ``I feel that the style warnings *ARE* an important enough
issue, because these style warnings are by default dictating the
variable semantics, but in a manner inconsistent from implementation
to implementation.''
Some people reviewing version 1 made suggestions which are not
pursued in this version, but which are worthy of note:
- GLS suggested we might need a REPEAT macro, such that
(REPEAT n . body) meant the same as (DOTIMES (I n) . body).
This would paper over the DOTIMES problem, but would still
leave other similar problems unattended to. This angle was
therefore not pursued.
- Barrett and others raised the issue of what counts as a use.
Both reading and writing it, or just reading? Technically,
that's an orthogonal issue, although it has obvious interplay
with anything decided here.
- There was discussion by Dalton, Margolin, and others of changing
the semantics of IGNORE to mean `ignorable'. Some felt this
would be visually confusing. Some felt we should rename IGNORE
to IGNORABLE. Some felt we should introduce IGNORABLE in
addition to IGNORE. [An IGNORABLE declaration was added as an
option in v3 of this proposal. -kmp]
- Jeff Barnett (at Northrop) suggested that we should reconsider
the idea of dignifying a certain variable, IGNORE, as implicitly
ignored and then permit (DOTIMES (IGNORE 5) ...). He observed
that this also works for (MULTIPLE-VALUE-BIND (X IGNORE Z) ...).
This was already brought up as issue IGNORE-VARIABLE (tabled by
Masinter at Mar-89 meeting due to deadline constraints).
Fred White (at BBN) suggested that it should be possible to do
(PROCLAIM '(IGNORE IGNORE)). Pitman pointed out that
(PROCLAIM '(SPECIAL IGNORE)) almost works.
Neil Goldman (at ISI) raised the issue of
which again calls for the IGNORE variable.
-<EMAIL_ADDRESS>pointed out that he just tries to avoid
(DECLARE (IGNORE X)) in favor of just X at toplevel of a body.
Don Cohen (at ISI) disagreed that this was adequate, saying that
he felt that an implementor would be justified in finding such
a `use' to be gratuitous and still warning. (Pitman disagrees
with this disagreement, because sometimes macros expand into
such things and getting a use that is `more significant' might be
a data abstraction violation.) In any case, the use Eliot was
talking about really implements IGNORABLE, not IGNORE.
- There was some exploration into the area of whether DOTIMES should
create a new binding every time. RPG cited that the current
definition of DOTIMES is unintuitive to users of parallel lisps.
Dalton pointed out that if a new binding were made every time, then
the internal variable which DOTIMES stepped could be a different
one, and hence the user's variable would be unused as a matter of
course (i.e., without WITH-INVISIBLE-REFERENCES) since no hidden
operations on it would be needed. Bob Kerns (RWK at ILA) said that
if people were intending to close over an iteration variable, their
intent would still be clearer if they wrote
(DOTIMES (I N) (LET ((I I)) (SPAWN #'(LAMBDA () ...I...))))
rather than just
(DOTIMES (I N) (SPAWN #'(LAMBDA () ...I...)))
- Dalton raised the question of whether all this trouble was really
worth it and whether we shouldn't just specify the expansion of
DOTIMES precisely so users could just know what it would have going
on inside it. RPG said ``Using possible macro expansions to reason
about language design is poor methodology. DOTIMES should be
specified and its implementation choices outlined.'' Barmar
defended (as an example) the Symbolics implementation which
expands differently depending on the situation and worried that
optimizations would be harder if the expansion was dictated. The
idea of showing a space of possible expansions was also discussed
by RWK and others. Barmar said ``By specifying each
operator as independently as possible we have less trouble with
strange interactions.'' Dalton responded ``Except where we don't,
as with DOTIMES and IGNORE. Moreover, it is at least arguable that
when too much is separate the language is more complex and harder
to learn.''
- Neil Goldman cited three examples of problem situations--
- 1) in lambda lists, because a function is used in a role
where it may be passed arguments it does not need.
2) multiple-value-setq, where the values that need to be
consumed are not just an initial sequence of those returned.
3) macros (like DOTIMES), that require the provision of a
variable name that will be lexically bound in the expansion
and permit IGNORE declarations about it.
He suggested that the form of destructuring used by LOOP would
solve these problems. e.g.,
(defun arg1-is-integer (arg1 nil) ...) ;;second arg is not consumed
(defun CAR-is-integer ((car . nil)) ...)
;; first arg must be a CONS. Its CDR is not consumed
(multiple-value-setq ((onea oneb) nil three) ...)
Peter Norvig (at Berkeley) worried about ambiguities in this notation.
(defun optional-CAR-is-integer (&optional (car nil)) ...)
(defmethod CAR-is-integer ((car cons)) ...)
RWK wrote one particular message which Moon identified in mail as the
most important message in the long conversation and which Moon said he
hoped wouldn't get lost. GLS sent mail saying he agreed. The
message was long, but it was a good message, so KMP has picked some choice
paragraphs from it and reproduced them here. These are from the
message of 26 Jul 90 21:26 EDT from<EMAIL_ADDRESS>``Variable semantics is a very fundamental aspect of the language,
and we have failed to specify an important part of it. Traditionally,
we have dismissed "style warnings" as being an "environment" issue.
However, in this case, I do not think it should be so dismissed.
Currently, we have implementations of CL which vocally complain about
opposite usages. Having bogus style warnings go off in this way is
a serious problem for people porting code, because it obscures
legitimate problems. Bogus warnings are a serious waste of time for
porters of code, and they also make venders of portable code look as
if they are careless programmers.
``I strongly feel that a well-written portable Common Lisp program
should compile with no warnings in any well-done Common Lisp
implementation. Otherwise, how is the user of a portable program
supposed to know if the warnings warn of actual problems, or are
just noise.
``I strongly feel that X3J13 should firmly nail down under what
circumstances "unused variable" and "unused local function"
warnings may be issued. It is our failure to do so which is
at the heart of the current issue, and as a porter of code, it
has been a recurrent problem.''
``There are also two capabilities which are missing, which have
been refered to as an IGNORABLE declaration and a
COMPILER:INVISIBLE-REFERENCES form, in BARMAR's message. I
actually think that both are needed. IGNORABLE states that it
doesn't matter if the user doesn't reference a variable.
COMPILER:INVISIBLE-REFERENCES (WITHOUT-REFERENCES ?) states that
the user is *expected* to reference a particular variable, and
that style warnings are appropriate if he does not.
``I think both situations are common in macros, and that because
these issues are so close to the core of the language semantics,
this should be regarded as something more than mere "style
warnings". I wouldn't require compilers and interpreters to
issue the warnings in any particular situation, but I do think
we can and should define the semantics of our variables sufficiently
to state when these warnings are and are not appropriate.
``I'd also like to see all of these extended to local functions
in the same manner as the DYNAMIC-EXTENT declaration.''
Pitman notes the following bug report, received by Symbolics. One very
important effect of solving this issue is that vendors will know what
to implement and users will know what to expect. Right now, vendors
are forced to implement their conscience, and they have no defense if
a user thinks they did the wrong thing.

SYMBOLICS SHOULD BE SHOT FOR ISSUING THIS WARNING.
...
The only little problem is--all Symbolics did was implement what it
felt CLtL said to implement. What the user is really complaining
about is that the implementation didn't do the same thing as he
expected, and the only way it ever will is if we resolve this issue
once and for all.


I'm A Celebrity viewers slam Richard Madeley for calling Caitlyn 'he' in 'toe-curling' Extra Camp interview
He heaped praise on the American reality star
by Richard BellFans of I'm A Celebrity have called out TV's Richard Madeley for referring to Caitlyn Jenner as a 'he' during an interview on Extra Camp.
The former GMTV fave, 63, was on the spin-off show last night (24.11.19) to chat about I'm A Celeb and offer his take on the latest jungle drama.
After they watched a clip of transgender reality star Caitlyn having a friendly chinwag with fellow campmate Jacqueline Jossa, host Joel Dommett said: "Caitlyn really seems to be taking on the motherly role in the camp. Everyone's really looking up to her."
Read more: I'm A Celebrity viewers demand Ant and Dec host next series of Love Island
His co-host Emily Atack said: "Even though Jacqueline's a mother herself, it's quite nice to see her being mothered as well."
Richard then said: "He was saying, wasn't he, in one of the earlier exchanges, they said, 'What do your kids call you?' and he said, 'They call me dad. But they call me she'.
"So I think it's an interesting blend, actually, of paternalism as well as maternalism."
 Really is."
But as the conversation continued, Richard started using the pronoun 'she' instead.
He said on the programme: "I think she's discovered that honesty, and being open, is actually the way to peace of mind.
 And she doesn't, she isn't holding anything back, it's amazing."
ED! has contacted Richard's reps for comment.
He might have heaped praise on Caitlyn and switched to her chosen pronoun in the latter half of the conversation, but that didn't stop some viewers rushing to Twitter to call Richard's words "disrespectful".
One said: "Oh no, I cringed so hard at Richard Madeley misgendering Caitlyn 2/3 times."
Another wrote: "How many times does Richard have to call Caitlyn a he! Very disrespectful #ExtraCamp."
Read more: I'm A Celebrity viewers slam James Haskell after clash with Kate Garraway over 'chivalry'
A third tweeted: "Richard Madeley referring to Caitlyn Jenner as 'he' on #ExtraCamp - not cool!"
Someone else put: "Richard Madeley needs to stop saying 'he' when talking about #CaitlynJenner #ImACelebrity2019 #ExtraCamp."
"Richard Madeley repeatedly misgendering Caitlyn Jenner was toe curling," said a fifth.
Elsewhere on Extra Camp, they discussed last night's Love Island-themed live trial, which could face an investigation from regulator Ofcom for being 'unfair'.
Leave us a comment on our Facebook page @EntertainmentDailyFix and let us know what you think of this story.


New Account Activation Completed.
New Account Activation Completed.
Your password has been set. You may go ahead and Login now.
Your password has been set. You may go ahead and Login now.


You’ll spend 2 years learning the ins and outs of computer science and product development through building software designed to impact real problems. You’ll be learning the same technologies, frameworks and design process used by tech companies.
You’ll spend 2 years learning the ins and outs of computer science and product development through building software designed to impact real problems. You’ll be learning the same technologies, frameworks and design process used by tech companies.
In 2014 we became the first higher educational institution to offer college financing through Income Share Agreements. You’ll pay tuition as a percent of earnings once you have a successful job in tech.


Welcome To {{clsName}} Class
List of student
Students
{% for i in students %}
{{i.student}}
{% endfor %}
Email
{% for i in students %}
{{i.student.email}}
{% endfor %}
Projects
{% for e in Events %}
{{e.eventname }}
{% endfor %}
Project Assigned
{{Count}}
Submitted Assignments
{{videoSUB}}
Pending Correction
{{leftV}}


Type In
Explore
Go to CSV
Go to XLSX
By using this tool user can:
Find a word in sentence using "Find"
Replace a word in a sentence using "Replace"
Extract number from a sentence using "Extract numbers from sentences"
Check IP Address is valid or not using "Check the validity of IP Address"
Find https , protocol, host from URL from "Find https , protocol, host from URL"
Check the validity of mail ID using "Check the validity of mail ID""
Find a quoted word in sentence using "Find a quoted word"
Find the location of IP Address
Find the location of mobile number
Click on the button to select the option.
Select the option
Find
Replace
Extract numbers from sentences
Find https , protocol , host from url
Check the validity of IP Address
Check the validity of Mail Id
Find a quoted word
Find the location of your IP Address
Find the location of your mobile number


paragraph
"strong" "emphasis"
underline
strikethrough
small caps
paragraph-size quotations
text with inline code
| column 1 | column 2 |
|---|---|
| 123 | abc |
| 456 | def |
here is a less than: <
here is a greater than: >
here is an ampersand: &
here is a non-breaking space:
<html>
‒
©2018 Justin Sy
© 2018 Justin Sy


General Election 2019: Liberal Democrats Pledge To Improve Military Recruitment And Housing
The party has launched its manifesto ahead of polling day on 12 December.
Liberal Democrats leader, Jo Swinson (Picture: PA).
The Liberal Democrats have launched their 2019 manifesto ahead of the General Election, pledging greater investment in tackling cyber warfare.
They have promised to spend 2% of GDP on defence, which is the current level of spending, as well as pledging to improve the quality of housing for service personnel.
The party wants to give military tenants the same legal rights to repair and maintenance as private tenants.
Other defence points in their manifesto include promoting an international treaty on the principles and limitations on the use of technology in modern warfare and maintaining a minimum nuclear deterrent, although the party says it is pursuing nuclear disarmament.
The Lib Dems also say they would give science, technology, engineering, and mathematics (STEM) graduates up to £10,000 to become Armed Forces engineers.
Jo Swinson's party said economic growth through stopping Brexit would allow for a bigger purse with regards to future defence expenditure.


xxx_V
converts an xxx
to a Value.
V_xxx
converts a Value
to an xxx,
throwing an exception if the Value is not of that type. UNSAFE_V_xxx
is like V_xxx
but does no type checking. (Use only when speed matters and you can prove the type is correct.)
Functions | |
| Value | INT_V (int i) |
| Converts an int to a Value. Be aware there are only 30 significant bits in an integer Value! | |
| Value | CHAR_V (short uc) |
| Converts a Unicode character to a Value. | |
| Value | BOOL_V (bool b) |
| Converts a bool to a Value (false becomes V_NIL, true becomes V_TRUE). | |
| Value | REAL_V (double d) |
| Converts a double to a Value. | |
| int | UNSAFE_V_INT (Value v) |
| Converts a Value to an integer with no type check. | |
| int | V_INT (Value v) |
| Converts a Value to an int. Throws if Value is not an integer. | |
| int | V_CHAR (Value v) |
| Converts a Value to a Unicode character. Throws if Value is not a character. | |
| bool | V_BOOL (Value v) |
| Converts a Value to a bool. Result is false if Value is V_NIL, otherwise true. | |
| double | V_REAL (Value v) |
| Converts a Value to a double. Throws is Value is not a number. |
|
|
Converts an int to a Value. Be aware there are only 30 significant bits in an integer Value!
|
|
|
Converts a Unicode character to a Value.
|
|
|
Converts a bool to a Value (false becomes V_NIL, true becomes V_TRUE).
|
|
|
Converts a double to a Value.
|
|
|
Converts a Value to an integer with no type check. Quickly converts a Value to an integer *without* testing the type first -- use only if you're sure the Value is an int (or it doesn't much matter if it isn't). |
|
|
Converts a Value to an int. Throws if Value is not an integer.
|
|
|
Converts a Value to a Unicode character. Throws if Value is not a character.
|
|
|
Converts a Value to a bool. Result is false if Value is V_NIL, otherwise true.
|
|
|
Converts a Value to a double. Throws is Value is not a number.
|


Mirrors
For individuals behind firewalls (e.g. China, Iran, etc), we host a mirror of The Onion Router (ToR) and The Amnesic Incognito Live System (TAILS Linux).
We plan on expanding our library of mirrors in the near future, as well as implementing options to download through CloudFlare, Google, or OVH Montreal.


Reddit api example
Subreddit:
Flair:
Search:
Sort By:
relevance
new
top
comments
Time:
all
year
month
week
day
hour
After (type_id):
Before (type_id):
Link Domain:
Limit (5):
NSFW:


Per Capita Legislative Appropriations To State Arts Agencies(Art Budget per State) Source: National Assembly of State Arts Agencies Source: Google Source: Futuresource Source: Fordham Law School As the spread of technology increases, more students are in creative environments, being exposed to new resources.


About Me
Hi, my name’s Shubham and I’m currently a SWE at Google Bangalore. I like to build large scale distributed systems. Apart from making awesome software systems, I love solo travelling around the globe.
I am most skilled in devouring pizza and gulping coke
Experience
Our mission is to organise the world’s information and make it universally accessible and useful
Part of gStore team.
Redefining the way India shops online
Winner of Crio DevAccelerator program in Flipkart’s inaugural JEDI bootcamp.
Part of Jeeves team at Flipkart which handles post delivery services.
Worked on solutioning and designing of an offline first technician app.
Made a logging library for common logging standard across all our microservices and easy lifecycle tracking though logs and Elastic stack.
Critical backend and frontend development to enhance business reporting.
Single-handedly took care of the infrastructure and database hygiene of the team.
Education
NIT Kurukshetra, India
B.Tech Information Technology
2014 - 2018
Institution of National Importance
During my time at NIT Kurukshetra, I learnt most of my key skills that have have taken me through my career. I thouroughly enjoyed my time at college and learnt a lot about a healthy work life balance.
I spent a lot of my free time doing programming and teaching my juniors as well.
I graduated with a CGPA of 8.1473
My Personal Projects
that cool blockchain project
A decentralized, serverless blogging WEB 3.0 app built on top of Ethereum platform. It leverages IPFS, MetaMask and Web3.js. It gives you the ownership of your content and a platform where you can incentivize your content. Viewers can also tip off the writers for the blogs they publish. The platform establishes its own custom ERC20 token called Tsukiyomi to rally the community around.
A Little More About Me
Alongside my interests in software engineering and travelling, some of my other interests and hobbies are:
- Binge watching anime
- Browsing reddit aimlessly for hours
- Blockchain technology (If you trust math then trust bitcoin)
- FPS gaming
- Working out (six pack abs coming soon!!)


{% extends "site_base.html" %} {% load i18n %} {% block head_title %}{% trans "Welcome" %}{% endblock %} {% block tab_id %}id="home_tab"{% endblock %} {% block body %} {% blocktrans %}
This project is a scheduling app. At its core are events that constitute a start and end date implemented via two DateTimeFields together with a some meta datax such as title, description, etc.
To make it more user friendly there is the idea of EventRelation which links generic objects and an Event object. The idea is that you will keep more information about the event in these relations such as who is authorized to view them. It could be the case that User is linked to Event to represent who is authorized to view the event, and also User is linked to event to represent who is attending the event.
The EventRelation has another field called distinction. So in the previous example we could add an EventRelation which links a User to an Event with the distinction "viewer" and another EventRelation which links a User to an Event with the distinction "attendee."
{% endblocktrans %} {% blocktrans %}The sample project come with two management commands that enable you to load some data:
./manage.py load_sample_data
./manage.py load_example_data
{% trans "The list of available Calendars." %}


The profiel pages contains the movie trailer, movie details, reviews and related artilces on the New York Times.
The details about the moive such as synopsis, ratings, cast are presented on the profile page
Movie reviews from the New York Times are listed on the profile page along with the related articles.


It's no secret that time travel is complicated, both to write and read. Because of this many authors refuse to even touch the subject out of fear of making their story too complicated. When used correctly, time travel can be an interesting and unique device to add to your story. In this post we'll go over the strength points to hit and the pitfalls to avoid.
Let the Overlap Commence!
A good plot = a good experience for the reader, and there's nothing reader's love more than feeling they've figured a puzzle the author laid in front of them. Don't know which character is from the past and which from the future? Is this the real future or a parallel one? All of these questions make the reader instantly more invested in your story.
Wait a minute, Aliens AND time travel?!
Time travel can be fun, but it works best when it's a contribution (and not the focus of) your story.
Placeholder text by Space Ipsum. Photographs by NASA on The Commons.