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Contextual bitext-derived paraphrases in automatic MT evaluation

Owczarzak, Karolina, Groves, Declan, van Genabith, Josef and Way, Andy orcid logoORCID: 0000-0001-5736-5930 (2006) Contextual bitext-derived paraphrases in automatic MT evaluation. In: HLT-NAACL 2006 Workshop on Statistical Machine Translation, 8-9 June 2006, New York, NY, USA.

Abstract
In this paper we present a novel method for deriving paraphrases during automatic MT evaluation using only the source and reference texts, which are necessary for the evaluation, and word and phrase alignment software. Using target language paraphrases produced through word and phrase alignment a number of alternative reference sentences are constructed automatically for each candidate translation. The method produces lexical and lowlevel syntactic paraphrases that are relevant to the domain in hand, does not use external knowledge resources, and can be combined with a variety of automatic MT evaluation system.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Refereed:Yes
Uncontrolled Keywords:automatic machine translation evaluation;
Subjects:Computer Science > Machine translating
DCU Faculties and Centres:Research Initiatives and Centres > National Centre for Language Technology (NCLT)
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Publisher:Association for Computational Linguistics
Official URL:http://www.aclweb.org/anthology/W/W06/
Copyright Information:© 2006 Association for Computational Linguistics
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:15285
Deposited On:11 Mar 2010 13:37 by DORAS Administrator . Last Modified 16 Nov 2018 11:15
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