An algorithm for pronominal anaphora resolution
Computational Linguistics
An Empirical Approach to Spanish Anaphora Resolution
Machine Translation
Generation of Spanish Zero-Pronouns into English
NLP '00 Proceedings of the Second International Conference on Natural Language Processing
A computational approach to zero-pronouns in Spanish
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
The Candide system for machine translation
HLT '94 Proceedings of the workshop on Human Language Technology
An application of the interlingua system ISS for Spanish-English pronominal anaphora generation
NAACL-ANLP-Interlinguas '00 Proceedings of the 2000 NAACL-ANLP Workshop on Applied interlinguas: practical applications of interlingual approaches to NLP - Volume 2
Coreference-oriented interlingual slot structure & machine translation
CorefApp '99 Proceedings of the Workshop on Coreference and its Applications
Identification of Subject Shareness for Korean-English Machine Translation
PRICAI '08 Proceedings of the 10th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
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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.