Comparing phrase-based and syntax-based paraphrase generation

Authors:
Sander Wubben;Erwin Marsi;Antal van den Bosch;Emiel Krahmer
Affiliations:
Tilburg University, LE Tilburg, The Netherlands;NTNU, Sem Saelandsvei, Trondheim, Norway;Tilburg University, LE Tilburg, The Netherlands;Tilburg University, LE Tilburg, The Netherlands
Venue:
MTTG '11 Proceedings of the Workshop on Monolingual Text-To-Text Generation
Year:
2011

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Abstract

Paraphrase generation can be regarded as machine translation where source and target language are the same. We use the Moses statistical machine translation toolkit for paraphrasing, comparing phrase-based to syntax-based approaches. Data is derived from a recently released, large scale (2.1M tokens) paraphrase corpus for Dutch. Preliminary results indicate that the phrase-based approach performs better in terms of NIST scores and produces paraphrases at a greater distance from the source.