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ICASSP
2011
IEEE
14 years 7 months ago
Combination of stochastic understanding and machine translation systems for language portability of dialogue systems
In this paper, several approaches for language portability of dialogue systems are investigated with a focus on the spoken language understanding (SLU) component. We show that the...
Bassam Jabaian, Laurent Besacier, Fabrice Lefevre
FINTAL
2006
15 years 7 months ago
Using Alignment Templates to Infer Shallow-Transfer Machine Translation Rules
When building rule-based machine translation systems, a considerable human effort is needed to code the transfer rules that are able to translate source-language sentences into gra...
Felipe Sánchez-Martínez, Hermann Ney
IMCSIT
2010
15 years 1 months ago
TREF - TRanslation Enhancement Framework for Japanese-English
Abstract--We present a method for improving existing statistical machine translation methods using an knowledge-base compiled from a bilingual corpus as well as sequence alignment ...
Bartholomäus Wloka, Werner Winiwarter
113
Voted
LREC
2010
119views Education» more  LREC 2010»
15 years 5 months ago
Towards Improving English-Latvian Translation: A System Comparison and a New Rescoring Feature
This paper presents a comparative study of two alternative approaches to statistical machine translation (SMT) and their application to a task of English-to-Latvian translation. F...
Maxim Khalilov, José A. R. Fonollosa, Ingun...
143
Voted
ACL
2009
15 years 1 months ago
Collaborative Decoding: Partial Hypothesis Re-ranking Using Translation Consensus between Decoders
This paper presents collaborative decoding (co-decoding), a new method to improve machine translation accuracy by leveraging translation consensus between multiple machine transla...
Mu Li, Nan Duan, Dongdong Zhang, Chi-Ho Li, Ming Z...