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Lexical Coverage Evaluation of Large-scale Multilingual Semantic Lexicons for Twelve Languages

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11210%2F16%3A10332728" target="_blank" >RIV/00216208:11210/16:10332728 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.lrec-conf.org/proceedings/lrec2016/pdf/257_Paper.pdf" target="_blank" >http://www.lrec-conf.org/proceedings/lrec2016/pdf/257_Paper.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Lexical Coverage Evaluation of Large-scale Multilingual Semantic Lexicons for Twelve Languages

  • Original language description

    The last two decades have seen the development of various semantic lexical resources such as WordNet and the USAS semantic lexicon, which have played an important role in the areas of natural language processing and corpus-based studies. Recently, increasing efforts have been devoted to extending the semantic frameworks of existing lexical knowledge resources to cover more languages, such as EuroWordNet and Global WordNet. In this paper, we report on the construction of large-scale multilingual semantic lexicons for twelve languages, which employ the unified Lancaster semantic taxonomy and provide a multilingual lexical knowledge base for the automatic UCREL semantic annotation system (USAS). Our work contributes towards the goal of constructing larger-scale and higher-quality multilingual semantic lexical resources and developing corpus annotation tools based on them. Lexical coverage is an important factor concerning the quality of the lexicons and the performance of the corpus annotation tools, and in this experiment we focus on evaluating the lexical coverage achieved by the multilingual lexicons and semantic annotation tools based on them. Our evaluation shows that some semantic lexicons such as those for Finnish and Italian have achieved lexical coverage of over 90% while others need further expansion.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    AI - Linguistics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/LM2015044" target="_blank" >LM2015044: Czech National Corpus</a><br>

  • Continuities

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

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)

  • ISBN

    978-2-9517408-9-1

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    2614-2619

  • Publisher name

    ELRA

  • Place of publication

    Portorož

  • Event location

    Portorož

  • Event date

    May 25, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article