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» Modeling with Structures in Statistical Machine Translation
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FINTAL
2006
13 years 11 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
EMNLP
2007
13 years 9 months ago
Large Language Models in Machine Translation
This paper reports on the benefits of largescale statistical language modeling in machine translation. A distributed infrastructure is proposed which we use to train on up to 2 t...
Thorsten Brants, Ashok C. Popat, Peng Xu, Franz Jo...
ACL
2008
13 years 9 months ago
A New String-to-Dependency Machine Translation Algorithm with a Target Dependency Language Model
In this paper, we propose a novel string-todependency algorithm for statistical machine translation. With this new framework, we employ a target dependency language model during d...
Libin Shen, Jinxi Xu, Ralph M. Weischedel
IALP
2010
13 years 2 months ago
Sentence Similarity-Based Source Context Modelling in PBSMT
Target phrase selection, a crucial component of the state-of-the-art phrase-based statistical machine translation (PBSMT) model, plays a key role in generating accurate translation...
Rejwanul Haque, Sudip Kumar Naskar, Andy Way, Mart...
ACL
2012
11 years 10 months ago
NiuTrans: An Open Source Toolkit for Phrase-based and Syntax-based Machine Translation
We present a new open source toolkit for phrase-based and syntax-based machine translation. The toolkit supports several state-of-the-art models developed in statistical machine t...
Tong Xiao, Jingbo Zhu, Hao Zhang, Qiang Li