The NICT translation system for IWSLT 2014

Xiaolin Wang, Andrew Finch, Masao Utiyama, Taro Watanabe, Eiichiro Sumita


Abstract
This paper describes NICT’s participation in the IWSLT 2014 evaluation campaign for the TED Chinese-English translation shared-task. Our approach used a combination of phrase-based and hierarchical statistical machine translation (SMT) systems. Our focus was in several areas, specifically system combination, word alignment, and various language modeling techniques including the use of neural network joint models. Our experiments on the test set from the 2013 shared task, showed that an improvement in BLEU score can be gained in translation performance through all of these techniques, with the largest improvements coming from using large data sizes to train the language model.
Anthology ID:
2014.iwslt-evaluation.20
Volume:
Proceedings of the 11th International Workshop on Spoken Language Translation: Evaluation Campaign
Month:
December 4-5
Year:
2014
Address:
Lake Tahoe, California
Editors:
Marcello Federico, Sebastian Stüker, François Yvon
Venue:
IWSLT
SIG:
SIGSLT
Publisher:
Note:
Pages:
139–142
Language:
URL:
https://aclanthology.org/2014.iwslt-evaluation.20
DOI:
Bibkey:
Cite (ACL):
Xiaolin Wang, Andrew Finch, Masao Utiyama, Taro Watanabe, and Eiichiro Sumita. 2014. The NICT translation system for IWSLT 2014. In Proceedings of the 11th International Workshop on Spoken Language Translation: Evaluation Campaign, pages 139–142, Lake Tahoe, California.
Cite (Informal):
The NICT translation system for IWSLT 2014 (Wang et al., IWSLT 2014)
Copy Citation:
PDF:
https://aclanthology.org/2014.iwslt-evaluation.20.pdf