Extending monolingual semantic textual similarity task to multiple cross-lingual settings

Yoshihiko Hayashi, Wentao Luo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

This paper describes our independent effort for extending the monolingual semantic textual similarity (STS) task setting to multiple cross-lingual settings involving English, Japanese, and Chinese. So far, we have adopted a "monolingual similarity after translation" strategy to predict the semantic similarity between a pair of sentences in different languages. With this strategy, a monolingual similarity method is applied after having (one of) the target sentences translated into a pivot language. Therefore, this paper specifically details the required and developed resources to implement this framework, while presenting our current results for English-Japanese-Chinese cross-lingual STS tasks that may exemplify the validity of the framework.

Original languageEnglish
Title of host publicationProceedings of the 10th International Conference on Language Resources and Evaluation, LREC 2016
EditorsNicoletta Calzolari, Khalid Choukri, Helene Mazo, Asuncion Moreno, Thierry Declerck, Sara Goggi, Marko Grobelnik, Jan Odijk, Stelios Piperidis, Bente Maegaard, Joseph Mariani
PublisherEuropean Language Resources Association (ELRA)
Pages1233-1239
Number of pages7
ISBN (Electronic)9782951740891
Publication statusPublished - 2016
Event10th International Conference on Language Resources and Evaluation, LREC 2016 - Portoroz, Slovenia
Duration: 2016 May 232016 May 28

Publication series

NameProceedings of the 10th International Conference on Language Resources and Evaluation, LREC 2016

Other

Other10th International Conference on Language Resources and Evaluation, LREC 2016
Country/TerritorySlovenia
CityPortoroz
Period16/5/2316/5/28

Keywords

  • Cross-lingual semantic similarity
  • Machine translation quality
  • STS
  • Semantic textual similarity

ASJC Scopus subject areas

  • Linguistics and Language
  • Library and Information Sciences
  • Language and Linguistics
  • Education

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