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» Semantic Evaluation of Machine Translation
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NLPRS
2001
Springer
14 years 1 months ago
Long Sentence Partitioning using Structure Analysis for Machine Translation
in machine translation, long sentences are usually assumed to be difficult to treat. The main reason is the syntactic ambiguity which increases explosively as a sentence become lo...
Yoon-Hyung Roh, Young Ae Seo, Ki-Young Lee, Sung-K...
EMNLP
2009
13 years 6 months ago
Bidirectional Phrase-based Statistical Machine Translation
This paper investigates the effect of direction in phrase-based statistial machine translation decoding. We compare a typical phrase-based machine translation decoder using a left...
Andrew M. Finch, Eiichiro Sumita
EMNLP
2008
13 years 10 months ago
Lattice-based Minimum Error Rate Training for Statistical Machine Translation
Minimum Error Rate Training (MERT) is an effective means to estimate the feature function weights of a linear model such that an automated evaluation criterion for measuring syste...
Wolfgang Macherey, Franz Josef Och, Ignacio Thayer...
EMNLP
2010
13 years 6 months ago
A Hybrid Morpheme-Word Representation for Machine Translation of Morphologically Rich Languages
We propose a language-independent approach for improving statistical machine translation for morphologically rich languages using a hybrid morpheme-word representation where the b...
Minh-Thang Luong, Preslav Nakov, Min-Yen Kan
LREC
2010
195views Education» more  LREC 2010»
13 years 10 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...