{"id":283,"date":"2015-05-18T07:13:26","date_gmt":"2015-05-18T06:13:26","guid":{"rendered":"https:\/\/parcolab.univ-tlse2.fr\/about\/ressources\/"},"modified":"2023-04-30T12:16:59","modified_gmt":"2023-04-30T11:16:59","slug":"resources","status":"publish","type":"page","link":"https:\/\/parcolab.univ-tlse2.fr\/sr\/about\/resources\/","title":{"rendered":"Resources"},"content":{"rendered":"

This page aims at collecting the linguistic resources developed within the ParCoLab project.<\/p>\n

ParCoTrain-Synt – Syntactic analysis of Serbian<\/span><\/h3>\n

ParCoTrain-Synt is a training and evaluation corpus for\u00a0the POS-tagging, fine-grained morphosyntactic annotation, lemmatisation and parsing of Serbian. The corpus contains 81 000 tokens annotated manually on all levels. The source texts for the corpus are contemporary Serbian novels from the 2nd half of the 20th century.<\/p>\n

For each token, the corpus indicates the lemma, POS-tag, detailed morphosyntactic description, morphosyntactic traits important for parsing, syntactic governor and syntactic function. The syntactic annotation is done in the dependency-based approach.<\/p>\n

This resource was developed by Aleksandra Miletic, Dejan Stosic and C\u00e9cile Fabre (CLLE, CNRS & University of Toulouse).<\/p>\n

Licence
<\/strong>Some rights are reserved. ParCoTrain-Synt is distributed under a Creative Commons BY-NC-SA 3.0 licence. Please read the licence carefully before using the corpus in your work.<\/p>\n

Contact
<\/strong>Aleksandra Miletic,\u00a0aleksandra.miletic@univ-tlse2.fr<\/p>\n

Download
<\/strong>Corpus
<\/a>PDF documentation (forthcoming)<\/p>\n

ParCoJour – an MSD-tagged, lemmatized and parsed Serbian news corpus<\/span><\/h3>\n

Description<\/strong><\/p>\n

ParCoJour <\/strong>is a Serbian news corpus containing 34,000 tokens. There are 37 articles from one daily (Danas<\/em>) and one weekly (NIN<\/em>) newspaper published between 2003 and 2017. The corpus indicates the lemma, POS-tag, detailed morphosyntactic traits important for parsing, syntactic governor and syntactic function for each token. The linguistic annotation of the corpus follows the guidelines of the ParCoTrain-Synt corpus.<\/p>\n

Download
ParCoJour_v0.1<\/a>
<\/strong><\/p>\n

Licence
<\/strong>\"Creative<\/a> This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License<\/a>.<\/p>\n

Contact
<\/strong>Dusica Terzic, dusica.terzic@fil.bg.ac.rs<\/p>\n

References
<\/strong>Terzic, Dusica. (2019). <\/strong>Parsing des textes journalistiques en serbe par le logiciel Talismane. Proceedings of TALN-RECITAL 2019, pp. 591-604. <\/em>Toulouse, France. [PDF<\/a>]<\/p>\n

ParCoLab – files available for download<\/span><\/h3>\n

Description<\/strong><\/p>\n

A part of ParCoLab’s content is free of copyright and available for download. The portion of the corpus that is currently available contains 588 000 tokens in total (63 000 in Serbian, 260 000 in French, and 265 000 in English). The description of the texts included along with their size in tokens is given below.<\/p>\n

\u00a0<\/p>\n\n\n\n\n\n\n\n\n\n\n
Source<\/td>\nType<\/td>\nTokens per language<\/td>\nTotal<\/td>\n<\/tr>\n
Serbian<\/td>\nFrench<\/td>\nEnglish<\/td>\n<\/tr>\n
French Embassy in Canada<\/td>\nWeb content
(short texts)<\/td>\n		–<\/td>\n28\u00a0297<\/td>\n28\u00a0288<\/td>\n56\u00a0585<\/td>\n<\/tr>\n
TV series Bref<\/em><\/td>\nSubtitles
(spoken language)<\/td>\n		13\u00a0305<\/td>\n15\u00a0168<\/td>\n–<\/td>\n28\u00a0473<\/td>\n<\/tr>\n
Web magazine Pescanik<\/em><\/td>\nWeb content
(socio-political articles)<\/td>\n		31 151<\/td>\n–<\/td>\n34\u00a0275<\/td>\n65\u00a0426<\/td>\n<\/tr>\n
JRC-Acquis<\/td>\nLegislation
(legislative texts from EU)<\/td>\n		–<\/td>\n195\u00a0095<\/td>\n181\u00a0290<\/td>\n376\u00a0385<\/td>\n<\/tr>\n
TED talks<\/td>\nSubtitles
(short talks on various subjects)<\/td>\n		18\u00a0933<\/td>\n21\u00a0105<\/td>\n21\u00a0410<\/td>\n61\u00a0448<\/td>\n<\/tr>\n
Total<\/td>\n63\u00a0389<\/td>\n259\u00a0665<\/td>\n265\u00a0263<\/td>\n588\u00a0317<\/strong><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n

Contact person:\u00a0<\/strong>Aleksandra Miletic (CLLE-ERSS)<\/a>, aleksandra.miletic@univ-tlse2.fr<\/p>\n<\/div>\n

\n

Licence:\u00a0<\/strong>Some rights are reserved. ParCoLab is distributed under a Creative Commons BY-NC-SA 3.0<\/a> licence.<\/p>\n<\/div>\n

\n

Download<\/strong><\/p>\n

zip archive with XML files<\/a><\/p>\n

\u00a0<\/p>\n<\/div>\n

ParCoTrain – POS-tagging and lemmatisation of Serbian<\/span><\/h3>\n

Description<\/strong><\/p>\n

ParCoTrain is a training and test corpus for the POS-tagging and lemmatisation of Serbian. The lemmatised section of the corpus contains 95585 tokens, whereas the POS-tagged section counts 153625 tokens (95585 of which are annotated manually, with the remaining 57977 annotated automatically and validated manually). The source texts for the corpus are contemporary Serbian novels from the second half of the 20th century.<\/p>\n

The POS-tagging gives the main POS and the subcategory. It also indicates the degree of comparison for adjectives and adverbs. A detailed description of the tagset used in the corpus can be found in the PDF documentation downloadable from this page.<\/p>\n

This resource was developed as part of the ParCoLab project<\/a> by Aleksandra Miletic<\/a> (CLLE-ERSS, Universit\u00e9 Toulouse – Jean Jaur\u00e8s), Antonio Balvet<\/a> (STL, Universit\u00e9 Lille 3) and Dejan Stosic<\/a> (CLLE-ERSS, Universit\u00e9 Toulouse – Jean Jaur\u00e8s).<\/p>\n

\n

Contact person:\u00a0<\/strong>Aleksandra Miletic (CLLE-ERSS)<\/a>, aleksandra.miletic@univ-tlse2.fr<\/p>\n<\/div>\n

\n

Licence:\u00a0<\/strong>Some rights are reserved. ParCoTrain is distributed under a Creative Commons BY-NC-SA 3.0<\/a> licence.<\/p>\n<\/div>\n

\n

Download:<\/strong><\/p>\n

Training corpus<\/a><\/p>\n

PDF documentation in english<\/a><\/p>\n<\/div>\n

\n

References<\/strong><\/p>\n

Balvet, A., Stosic, D., & Miletic, A. (2014, May). TALC-Sef a Manually-revised POS-Tagged Literary Corpus in Serbian, English and French. In LREC 2014. [PDF<\/a>] [BibTex<\/a>]<\/p>\n

Miletic, A. (2013). Annotation semi-automatique en parties du discours d’un corpus litt\u00e9raire serbe. M\u00e9moire de Master. Universit\u00e9 Charles de Gaulle Lille 3, France.<\/p>\n

\u00a0<\/p>\n

wikimorph-sr – a lexicon for POS-tagging and parsing of Serbianh b
<\/span><\/h3>\n

\u00a0<\/p>\n<\/div>\n

Description<\/strong><\/p>\n

wikimorph-sr<\/b>\u00a0is a morphosyntactic lexicon for Serbian that can be used for POS-tagging, parsing and lemmatisation. It was mainly extracted from the serbo-croatian edition of the Wiktionary (sh.wiktionary.org<\/a>).<\/p>\n

The lexicon contains 1 222 486 different wordforms corresponding to 117 445 different lemmas and to 3 061 616 unique combinations wordform, lemma, morphosyntactic description<\/i>. Each morphosyntactic description contains a POS indication, a subcategory and a set of relevant morphosyntactic traits: case, number and gender for nouns, adjectives and pronouns; verb form, person, gender and number for verbs; degree of comparison for adjectives and adverbs. More details are available in the PDF documentation of the lexicon.<\/p>\n

This resource was developed as part of the ParCoLab project<\/a> by Aleksandra Miletic<\/a> (UMR 5263 CLLE-ERSS, CNRS & Universit\u00e9 Toulouse – Jean Jaur\u00e8s, France).<\/p>\n

\n

Contact person
<\/strong>Aleksandra Miletic<\/a>
Contact: aleksandra.miletic@univ-tlse2.fr<\/a><\/p>\n<\/div>\n

Licence
<\/strong>Some rights are reserved. wikimorph-sr<\/b>\u00a0is distributed under a Creative Commons BY-SA 3.0<\/a> licence.<\/p>\n

Downloads<\/strong><\/p>\n

Lexicon<\/a>
PDF documentation in English<\/a><\/p>\n

References<\/strong><\/p>\n

Miletic, Aleksandra. (2017)<\/b>. Building a morphosyntactic lexicon for Serbian from Wiktionary. Actes de la 6e \u00e9dition des Journ\u00e9es d’\u00e9tude toulousaines (J\u00e9Tou2017)<\/i>. Toulouse, France.<\/p>\n

Acknowledgements<\/strong><\/p>\n

\n

Many thanks to Franck Sajous (UMR 5263 CLLE, CNRS & Universit\u00e9 de Toulouse – Jean Jaur\u00e8s) for sharing his experience in working on the Wiktionary.<\/p>\n

\u00a0<\/p>\n

[About<\/a>] \u00a0 [Team<\/a>] \u00a0 [Documentation<\/a>] \u00a0\u00a0[Content<\/a>] \u00a0\u00a0[Publications<\/a>] \u00a0\u00a0[Acknowledgments<\/a>]<\/h5>\n<\/div>\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

This page aims at collecting the linguistic resources developed within the ParCoLab project. ParCoTrain-Synt – Syntactic analysis of Serbian ParCoTrain-Synt is a training and evaluation corpus for\u00a0the POS-tagging, fine-grained morphosyntactic annotation, lemmatisation and parsing of Serbian. The corpus contains 81 000 tokens annotated manually on all levels. The source texts for the corpus are contemporary… Read more »<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":39,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-283","page","type-page","status-publish","hentry"],"post_mailing_queue_ids":[],"_links":{"self":[{"href":"https:\/\/parcolab.univ-tlse2.fr\/sr\/wp-json\/wp\/v2\/pages\/283","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/parcolab.univ-tlse2.fr\/sr\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/parcolab.univ-tlse2.fr\/sr\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/parcolab.univ-tlse2.fr\/sr\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/parcolab.univ-tlse2.fr\/sr\/wp-json\/wp\/v2\/comments?post=283"}],"version-history":[{"count":16,"href":"https:\/\/parcolab.univ-tlse2.fr\/sr\/wp-json\/wp\/v2\/pages\/283\/revisions"}],"predecessor-version":[{"id":3126,"href":"https:\/\/parcolab.univ-tlse2.fr\/sr\/wp-json\/wp\/v2\/pages\/283\/revisions\/3126"}],"up":[{"embeddable":true,"href":"https:\/\/parcolab.univ-tlse2.fr\/sr\/wp-json\/wp\/v2\/pages\/39"}],"wp:attachment":[{"href":"https:\/\/parcolab.univ-tlse2.fr\/sr\/wp-json\/wp\/v2\/media?parent=283"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}