Statistical syntax-directed translation with extended domain of locality (2006)
| Venue: | In Proc. AMTA 2006 |
| Citations: | 50 - 12 self |
BibTeX
@INPROCEEDINGS{Huang06statisticalsyntax-directed,
author = {Liang Huang},
title = {Statistical syntax-directed translation with extended domain of locality},
booktitle = {In Proc. AMTA 2006},
year = {2006},
pages = {66--73}
}
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Abstract
A syntax-directed translator first parses the source-language input into a parsetree, and then recursively converts the tree into a string in the target-language. We model this conversion by an extended treeto-string transducer that have multi-level trees on the source-side, which gives our system more expressive power and flexibility. We also define a direct probability model and use a linear-time dynamic programming algorithm to search for the best derivation. The model is then extended to the general log-linear framework in order to rescore with other features like n-gram language models. We devise a simple-yet-effective algorithm to generate non-duplicate k-best translations for n-gram rescoring. Initial experimental results on English-to-Chinese translation are presented. 1
