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ACL
2006
13 years 8 months ago
A Discriminative Global Training Algorithm for Statistical MT
This paper presents a novel training algorithm for a linearly-scored block sequence translation model. The key component is a new procedure to directly optimize the global scoring...
Christoph Tillmann, Tong Zhang
LREC
2010
195views Education» more  LREC 2010»
13 years 8 months ago
Adapting Chinese Word Segmentation for Machine Translation Based on Short Units
In Chinese texts, words composed of single or multiple characters are not separated by spaces, unlike most western languages. Therefore Chinese word segmentation is considered an ...
Yiou Wang, Kiyotaka Uchimoto, Jun'ichi Kazama, Can...
COLING
2010
13 years 2 months ago
Unsupervised Discriminative Language Model Training for Machine Translation using Simulated Confusion Sets
An unsupervised discriminative training procedure is proposed for estimating a language model (LM) for machine translation (MT). An English-to-English synchronous context-free gra...
Zhifei Li, Ziyuan Wang, Sanjeev Khudanpur, Jason E...
MT
2006
106views more  MT 2006»
13 years 7 months ago
Example-based machine translation based on tree-string correspondence and statistical generation
Abstract. This paper describes an example-based machine translation (EBMT) method based on tree-string correspondence (TSC) and statistical generation. In this method, the translat...
Zhan-yi Liu, Haifeng Wang, Hua Wu
MT
2006
116views more  MT 2006»
13 years 7 months ago
Dependency treelet translation: the convergence of statistical and example-based machine-translation?
We describe a novel approach to machine translation that combines the strengths of the two leading corpus-based approaches: Phrasal SMT and EBMT. We use a syntactically informed d...
Christopher Quirk, Arul Menezes