Improved chunk-level reordering for statistical machine translation

Yuqi Zhang, Richard Zens, Hermann Ney


Abstract
Inspired by previous chunk-level reordering approaches to statistical machine translation, this paper presents two methods to improve the reordering at the chunk level. By introducing a new lattice weighting factor and by reordering the training source data, an improvement is reported on TER and BLEU. Compared to the previous chunklevel reordering approach, the BLEU score improves 1.4% absolutely. The translation results are reported on IWSLT Chinese-English task.
Anthology ID:
2007.iwslt-1.3
Volume:
Proceedings of the Fourth International Workshop on Spoken Language Translation
Month:
October 15-16
Year:
2007
Address:
Trento, Italy
Venue:
IWSLT
SIG:
SIGSLT
Publisher:
Note:
Pages:
Language:
URL:
https://aclanthology.org/2007.iwslt-1.3
DOI:
Bibkey:
Cite (ACL):
Yuqi Zhang, Richard Zens, and Hermann Ney. 2007. Improved chunk-level reordering for statistical machine translation. In Proceedings of the Fourth International Workshop on Spoken Language Translation, Trento, Italy.
Cite (Informal):
Improved chunk-level reordering for statistical machine translation (Zhang et al., IWSLT 2007)
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PDF:
https://preview.aclanthology.org/paclic-22-ingestion/2007.iwslt-1.3.pdf