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Data-driven semantic analysis for multilingual WSD and lexical selection in translation

Apidianaki, Marianna (2009) Data-driven semantic analysis for multilingual WSD and lexical selection in translation. In: EACL 2009 Workshop on Computational Approaches to Semitic Languages, 31 March 2009, Athens, Greece.

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A common way of describing the senses of ambiguous words in multilingual Word Sense Disambiguation (WSD) is by reference to their translation equivalents in another language. The theoretical soundness of the senses induced in this way can, however, be doubted. This type of cross-lingual sense identification has implications for multilingual WSD and MT evaluation as well. In this article, we first present some arguments in favour of a more thorough analysis of the semantic information that may be induced by the equivalents of ambiguous words found in parallel corpora. Then, we present an unsupervised WSD method and a lexical selection method that exploit the results of a data-driven sense induction method. Finally, we show how this automatically acquired information can be exploited for a multilingual WSD and MT evaluation more sensitive to lexical semantics.

Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Uncontrolled Keywords:multilingual word sense disambiguation;
Subjects:Computer Science > Machine translating
DCU Faculties and Centres:Research Initiatives and Centres > National Centre for Language Technology (NCLT)
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Publisher:Association for Computational Linguistics
Official URL:
Copyright Information:©2009 Association for Computational Linguistics
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland, SFI 05/IN/1732
ID Code:15167
Deposited On:15 Feb 2010 13:22 by DORAS Administrator. Last Modified 27 Apr 2010 10:56

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