IL MT System. Evaluation for Spanish-English Pronominal Anaphora Generation

  • Authors:
  • Jesús Peral;Antonio Ferrández Rodríguez

  • Affiliations:
  • -;-

  • Venue:
  • MICAI '02 Proceedings of the Second Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
  • Year:
  • 2002

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Abstract

In this paper the pronominal anaphora generation module of a complete interlingua Machine Translation (MT) approach is presented. The approach named AGIR (Anaphora Generation with an Interlingua Representation) allows the generation of anaphoric expressions into the target language from the interlingua representation of the source text. AGIR uses different kinds of knowledge (lexical, syntactic, morphological and semantic information) to solve the Natural Language Processing (NLP) problems of the source text. The paper presents the evaluation of the generation of English and Spanish (including zero pronouns) third person personal pronouns into the target language. The following results have been obtained: a precision of 80.39% and 84.77% in the generation of Spanish and English pronominal anaphora respectively.