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MT
2010
134views more  MT 2010»
13 years 6 months ago
Improve syntax-based translation using deep syntactic structures
This paper introduces deep syntactic structures to syntax-based Statistical Machine Translation (SMT). We use a Head-driven Phrase Structure Grammar (HPSG) parser to obtain the de...
Xianchao Wu, Takuya Matsuzaki, Jun-ichi Tsujii
ACL
2007
13 years 9 months ago
Ordering Phrases with Function Words
This paper presents a Function Word centered, Syntax-based (FWS) solution to address phrase ordering in the context of statistical machine translation (SMT). Motivated by the obse...
Hendra Setiawan, Min-Yen Kan, Haizhou Li
EMNLP
2007
13 years 9 months ago
Exploiting Multi-Word Units in History-Based Probabilistic Generation
We present a simple history-based model for sentence generation from LFG f-structures, which improves on the accuracy of previous models by breaking down PCFG independence assumpt...
Deirdre Hogan, Conor Cafferkey, Aoife Cahill, Jose...
EMNLP
2009
13 years 5 months ago
Discriminative Corpus Weight Estimation for Machine Translation
Current statistical machine translation (SMT) systems are trained on sentencealigned and word-aligned parallel text collected from various sources. Translation model parameters ar...
Spyros Matsoukas, Antti-Veikko I. Rosti, Bing Zhan...
GW
2007
Springer
135views Biometrics» more  GW 2007»
14 years 1 months ago
Enhancing a Sign Language Translation System with Vision-Based Features
Abstract. In automatic sign language translation, one of the main problems is the usage of spatial information in sign language and its proper representation and translation, e.g. ...
Philippe Dreuw, Daniel Stein, Hermann Ney