Syntax based reordering with automatically derived rules for improved statistical machine translation (2010)
| Venue: | In Proc. of COLING’10 |
| Citations: | 1 - 0 self |
BibTeX
@INPROCEEDINGS{Visweswariah10syntaxbased,
author = {Karthik Visweswariah and Jiri Navratil and Jeffrey Sorensen and Vijil Chenthamarakshan},
title = {Syntax based reordering with automatically derived rules for improved statistical machine translation},
booktitle = {In Proc. of COLING’10},
year = {2010},
pages = {1119--1127}
}
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Abstract
Syntax based reordering has been shown to be an effective way of handling word order differences between source and target languages in Statistical Machine Translation (SMT) systems. We present a simple, automatic method to learn rules that reorder source sentences to more closely match the target language word order using only a source side parse tree and automatically generated alignments. The resulting rules are applied to source language inputs as a pre-processing step and demonstrate significant improvements in SMT systems across a variety of languages pairs including English to Hindi, EnglishtoSpanishandEnglishtoFrench as measured on a variety of internal test sets as well as a public test set. 1
