Computing cross-lingual synonym set similarity by using princeton annotated gloss corpus

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

This paper proposes a method to compute cross-lingual semantic similarity between synonym sets. By making use of Princeton Annotated Gloss Corpus as the source of target language statistics, the proposed method exhibited promising results in the experiments: More than 73% of the Princeton WordNet synsets were successfully recovered within the top-5 candidates, given a corresponding set of Japanese WordNet synsets. As the proposed method minimally requires that the input to be seen as an apparently synonymous word set, the method could be extended and the performance would be further improved by incorporating richer information such as textual glosses and/or structural constraints posed by the lexical resources at hand.

本文言語English
ホスト出版物のタイトルGWC 2012
ホスト出版物のサブタイトル6th International Global Wordnet Conference, Proceedings
出版社Tribun EU s. r. o.
ページ134-141
ページ数8
ISBN(印刷版)9788026302445
出版ステータスPublished - 2012 1 1
外部発表はい
イベント6th International Global Wordnet Conference, GWC 2012 - Matsue, Japan
継続期間: 2012 1 92012 1 13

出版物シリーズ

名前GWC 2012: 6th International Global Wordnet Conference, Proceedings

Other

Other6th International Global Wordnet Conference, GWC 2012
国/地域Japan
CityMatsue
Period12/1/912/1/13

ASJC Scopus subject areas

  • 言語および言語学
  • 文学と文学理論

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