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International Workshop on Spoken Language Translation (IWSLT) 2010Paris, France |
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International Workshop on Spoken Language Translation (IWSLT) 2010Paris, France |
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This paper describes NICT's participation in the IWSLT
2010 evaluation campaign for the DIALOG translation
(Chinese-English) and the BTEC (French-English) translation
shared-tasks.
For the DIALOG translation, the main challenge to this
task is applying context information during translation. Context
information can be used to decide on word choice
and also to replace missing information during translation.
We applied discriminative reranking using contextual information
as additional features. In order to provide more
choices for re-ranking, we generated n-best lists from multiple
phrase-based statistical machine translation systems that
varied in the type of Chinese word segmentation schemes
used. We also built a model that merged the phrase tables
generated by the different segmentation schemes. Furthermore,
we used a lattice-based system combination model to
combine the output from different systems. A combination
of all of these systems was used to produce the n-best lists
for re-ranking.
For the BTEC task, a general approach that used latticebased
system combination of two systems, a standard phrasebased
system and a hierarchical phrase-based system, was
taken. We also tried to process some unknown words by replacing
them with the same words but different inflections
that are known to the system.
Bibliographic reference. Goh, Chooi-Ling / Watanabe, Taro / Paul, Michael / Finch, Andrew / Sumita, Eiichiro (2010): "The NICT translation system for IWSLT 2010", In IWSLT-2010, 139-146.