Paper: Extracting Paraphrases From A Parallel Corpus

ACL ID P01-1008
Title Extracting Paraphrases From A Parallel Corpus
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2001
Authors

While paraphrasing is critical both for interpretation and generation of natu- ral language, current systems use man- ual or semi-automatic methods to col- lect paraphrases. We present an un- supervised learning algorithm for iden- tification of paraphrases from a cor- pus of multiple English translations of the same source text. Our approach yields phrasal and single word lexical paraphrases as well as syntactic para- phrases.