Creating a Verb Synonym Lexicon Based on a Parallel Corpus

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F18%3A10390210" target="_blank" >RIV/00216208:11320/18:10390210 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.lrec-conf.org/proceedings/lrec2018/pdf/33.pdf" target="_blank" >http://www.lrec-conf.org/proceedings/lrec2018/pdf/33.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Creating a Verb Synonym Lexicon Based on a Parallel Corpus

Popis výsledku v původním jazyce

This paper presents the first findings of our recently started project of building a new lexical resource called CzEngClass, which consists of bilingual verbal synonym groups. In order to create such a resource, we explore semantic &apos;equivalence&apos; of verb senses of generally different verbs in a bilingual (Czech-English) setting by using translational context of real-world texts in a parallel, richly annotated dependency corpus. When grouping semantically equivalent verb senses into classes of synonyms, we focus on valency (arguments as deep dependents with morphosyntactic features relevant for surface dependencies) and its mapping to a set of semantic &quot;roles&quot; for verb arguments, common within one class. We argue that the existence of core argument mappings and certain adjunct mappings to a common set of semantic roles is a suitable criterion for a reasonable verb synonymy definition, possibly accompanied with additional contextual restrictions. By mid-2018, the first version of the lexicon called CzEng

Název v anglickém jazyce

Creating a Verb Synonym Lexicon Based on a Parallel Corpus

Popis výsledku anglicky

This paper presents the first findings of our recently started project of building a new lexical resource called CzEngClass, which consists of bilingual verbal synonym groups. In order to create such a resource, we explore semantic &apos;equivalence&apos; of verb senses of generally different verbs in a bilingual (Czech-English) setting by using translational context of real-world texts in a parallel, richly annotated dependency corpus. When grouping semantically equivalent verb senses into classes of synonyms, we focus on valency (arguments as deep dependents with morphosyntactic features relevant for surface dependencies) and its mapping to a set of semantic &quot;roles&quot; for verb arguments, common within one class. We argue that the existence of core argument mappings and certain adjunct mappings to a common set of semantic roles is a suitable criterion for a reasonable verb synonymy definition, possibly accompanied with additional contextual restrictions. By mid-2018, the first version of the lexicon called CzEng

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

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

Projekt

<a href="/cs/project/GA17-07313S" target="_blank" >GA17-07313S: Kontextová synonymie a valence sloves v bilingvním prostředí</a><br>

Návaznosti

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

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the 11th International Conference on Language Resources and Evaluation (LREC 2018)

ISBN

979-10-95546-00-9

ISSN

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e-ISSN

neuvedeno

Počet stran výsledku

6

Strana od-do

1432-1437

Název nakladatele

European Language Resources Association

Místo vydání

Paris, France

Místo konání akce

Miyazaki, Japan

Datum konání akce

7. 5. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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