Syntactic-Semantic Classes of Context-Sensitive Synonyms Based on a Bilingual Corpus

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F20%3A10424506" target="_blank" >RIV/00216208:11320/20:10424506 - isvavai.cz</a>

Výsledek na webu

<a href="http://ufal.mff.cuni.cz/biblio/attachments/2020-uresova-p3028634649548701313.pdf" target="_blank" >http://ufal.mff.cuni.cz/biblio/attachments/2020-uresova-p3028634649548701313.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-030-66527-2_18" target="_blank" >10.1007/978-3-030-66527-2_18</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Syntactic-Semantic Classes of Context-Sensitive Synonyms Based on a Bilingual Corpus

Popis výsledku v původním jazyce

This paper summarizes findings of a three-year study on verb synonymy in translation based on both syntactic and semantic criteria and reports on recent results extending this work. Primary language resources used are existing Czech and English lexical and corpus resources, namely the Prague Dependency Treebank-style valency lexicons, FrameNet, VerbNet, PropBank, WordNet and the parallel Prague Czech-English Dependency Treebank, which contains deep syntactic and partially semantic annotation of running texts. The resulting lexicon (called formerly CzEngClass, now SynSemClass) and all associated resources linked to the existing lexicons and corpora following from this project are publicly and freely available. While the project proper assumes manual annotation work, we expect to use the resulting resource (together with the existing ones) as a necessary resource for developing automatic methods for extending such a lexicon, or creating similar lexicons for other languages.

Název v anglickém jazyce

Syntactic-Semantic Classes of Context-Sensitive Synonyms Based on a Bilingual Corpus

Popis výsledku anglicky

This paper summarizes findings of a three-year study on verb synonymy in translation based on both syntactic and semantic criteria and reports on recent results extending this work. Primary language resources used are existing Czech and English lexical and corpus resources, namely the Prague Dependency Treebank-style valency lexicons, FrameNet, VerbNet, PropBank, WordNet and the parallel Prague Czech-English Dependency Treebank, which contains deep syntactic and partially semantic annotation of running texts. The resulting lexicon (called formerly CzEngClass, now SynSemClass) and all associated resources linked to the existing lexicons and corpora following from this project are publicly and freely available. While the project proper assumes manual annotation work, we expect to use the resulting resource (together with the existing ones) as a necessary resource for developing automatic methods for extending such a lexicon, or creating similar lexicons for other languages.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Human Language Technology. Challenges for Computer Science and Linguistics. 8th Language and Technology Conference, LTC 2017, Revised Selected Papers

ISBN

978-3-030-66527-2

ISSN

—

e-ISSN

—

Počet stran výsledku

14

Strana od-do

242-255

Název nakladatele

Springer International Publishing

Místo vydání

Cham, Switzerland

Místo konání akce

Poznań, Poland

Datum konání akce

17. 11. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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