Bootstrapping entity translation on weakly comparable corpora

Taesung Lee, Seung Won Hwang

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

7 Citations (Scopus)

Abstract

This paper studies the problem of mining named entity translations from comparable corpora with some "asymmetry". Unlike the previous approaches relying on the "symmetry" found in parallel corpora, the proposed method is tolerant to asymmetry often found in comparable corpora, by distinguishing different semantics of relations of entity pairs to selectively propagate seed entity translations on weakly comparable corpora. Our experimental results on English-Chinese corpora show that our selective propagation approach outperforms the previous approaches in named entity translation in terms of the mean reciprocal rank by up to 0.16 for organization names, and 0.14 in a low comparability case.

Original languageEnglish
Title of host publicationLong Papers
PublisherAssociation for Computational Linguistics (ACL)
Pages631-640
Number of pages10
ISBN (Print)9781937284503
Publication statusPublished - 2013 Jan 1
Event51st Annual Meeting of the Association for Computational Linguistics, ACL 2013 - Sofia, Bulgaria
Duration: 2013 Aug 42013 Aug 9

Publication series

NameACL 2013 - 51st Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference
Volume1

Other

Other51st Annual Meeting of the Association for Computational Linguistics, ACL 2013
CountryBulgaria
CitySofia
Period13/8/413/8/9

All Science Journal Classification (ASJC) codes

  • Language and Linguistics
  • Linguistics and Language

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    Lee, T., & Hwang, S. W. (2013). Bootstrapping entity translation on weakly comparable corpora. In Long Papers (pp. 631-640). (ACL 2013 - 51st Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference; Vol. 1). Association for Computational Linguistics (ACL).