Pronominal anaphora generation in an english-spanish MT approach

Abstract

This paper presents the pronominal anaphora generation module in a Machine Translation (MT) system. The MT interlingua approach -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. Subsequently, an interlingua representation of the whole text is obtained that allows the correct generation of anaphoric expressions. In this paper we have evaluated the generation of English and Spanish (including zero pronouns) third person personal pronouns into the target language. We have obtained the following results: a precision of 80.39% and 84.77% in the generation of Spanish and English pronominal anaphora respectively.