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ACL
2009
13 years 8 months ago
Bridging Morpho-Syntactic Gap between Source and Target Sentences for English-Korean Statistical Machine Translation
Often, Statistical Machine Translation (SMT) between English and Korean suffers from null alignment. Previous studies have attempted to resolve this problem by removing unnecessar...
Gum-Won Hong, Seung-Wook Lee, Hae-Chang Rim
FINTAL
2006
14 years 2 months ago
Improving Statistical Word Alignments with Morpho-syntactic Transformations
Abstract. This paper presents a wide range of statistical word alignment experiments incorporating morphosyntactic information. By means of parallel corpus transformations accordin...
Adrià de Gispert, Deepa Gupta, Maja Popovic...
AMTA
2004
Springer
14 years 4 months ago
Normalizing German and English Inflectional Morphology to Improve Statistical Word Alignment
German has a richer system of inflectional morphology than English, which causes problems for current approaches to statistical word alignment. Using Giza++ as a reference implemen...
Simon Corston-Oliver, Michael Gamon
AMTA
2004
Springer
14 years 4 months ago
Multi-align: Combining Linguistic and Statistical Techniques to Improve Alignments for Adaptable MT
Abstract. An adaptable statistical or hybrid MT system relies heavily on the quality of word-level alignments of real-world data. Statistical alignment approaches provide a reasona...
Necip Fazil Ayan, Bonnie J. Dorr, Nizar Habash
AMTA
2004
Springer
14 years 4 months ago
: Improving Domain-Specific Word Alignment with a General Bilingual Corpus
In conventional word alignment methods, some employ statistical models or statistical measures, which need large-scale bilingual sentencealigned training corpora. Others employ dic...
Hua Wu, Haifeng Wang