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EMNLP
2007
13 years 6 months ago
Phrase Reordering Model Integrating Syntactic Knowledge for SMT
Reordering model is important for the statistical machine translation (SMT). Current phrase-based SMT technologies are good at capturing local reordering but not global reordering...
Dongdong Zhang, Mu Li, Chi-Ho Li, Ming Zhou
ACL
2008
13 years 6 months ago
A Linguistically Annotated Reordering Model for BTG-based Statistical Machine Translation
In this paper, we propose a linguistically annotated reordering model for BTG-based statistical machine translation. The model incorporates linguistic knowledge to predict orders ...
Deyi Xiong, Min Zhang, AiTi Aw, Haizhou Li
COLING
2010
13 years 8 days ago
Learning Phrase Boundaries for Hierarchical Phrase-based Translation
Hierarchical phrase-based models provide a powerful mechanism to capture non-local phrase reorderings for statistical machine translation (SMT). However, many phrase reorderings a...
Zhongjun He, Yao Meng, Hao Yu
TSD
2010
Springer
13 years 3 months ago
Using TectoMT as a Preprocessing Tool for Phrase-Based Statistical Machine Translation
Abstract. We present a systematic comparison of preprocessing techniques for two language pairs: English-Czech and English-Hindi. The two target languages, although both belonging ...
Daniel Zeman