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Bayesian reordering model with feature selection

Alrajeh, Abdullah and Niranjan, Mahesan (2014) Bayesian reordering model with feature selection At ACL2014: The Ninth Workshop on Statistical Machine Translation, United States. 26 - 27 Jun 2014. , pp. 477-485.

Record type: Conference or Workshop Item (Paper)

Abstract

In phrase-based statistical machine translation systems, variation in grammatical structures between source and target languages can cause large movements of phrases. Modeling such movements is crucial in achieving translations of long sentences that appear natural in the target language. We explore generative learning approach to phrase reordering in Arabic to English. Formulating the reordering problem as a classification problem and using naive Bayes with feature selection, we achieve an improvement in the BLEU score over a lexicalized reordering model. The proposed model is compact, fast and scalable to a large corpus.

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More information

Published date: June 2014
Venue - Dates: ACL2014: The Ninth Workshop on Statistical Machine Translation, United States, 2014-06-26 - 2014-06-27
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 366149
URI: http://eprints.soton.ac.uk/id/eprint/366149
PURE UUID: 53e9cc83-bef2-4e44-af8b-a0cee920d10e

Catalogue record

Date deposited: 26 Jun 2014 13:33
Last modified: 18 Jul 2017 02:15

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Contributors

Author: Abdullah Alrajeh

University divisions

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