UAlacant: using online machine translation for cross-lingual textual entailment

  • Authors:
  • Miquel Esplà-Gomis;Felipe Sánchez-Martínez;Mikel L. Forcada

  • Affiliations:
  • Universitat d'Alacant, Alacant, Spain;Universitat d'Alacant, Alacant, Spain;Universitat d'Alacant, Alacant, Spain

  • Venue:
  • SemEval '12 Proceedings of the First Joint Conference on Lexical and Computational Semantics - Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation
  • Year:
  • 2012

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Abstract

This paper describes a new method for cross-lingual textual entailment (CLTE) detection based on machine translation (MT). We use sub-segment translations from different MT systems available online as a source of cross-lingual knowledge. In this work we describe and evaluate different features derived from these sub-segment translations, which are used by a support vector machine classifier to detect CLTEs. We presented this system to the SemEval 2012 task 8 obtaining an accuracy up to 59.8% on the English-Spanish test set, the second best performing approach in the contest.