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» A Probability Model to Improve Word Alignment
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AMTA
2004
Springer
14 years 1 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
ACL
2007
13 years 9 months ago
Tailoring Word Alignments to Syntactic Machine Translation
Extracting tree transducer rules for syntactic MT systems can be hindered by word alignment errors that violate syntactic correspondences. We propose a novel model for unsupervise...
John DeNero, Dan Klein
AIRS
2004
Springer
14 years 1 months ago
Improving Transliteration with Precise Alignment of Phoneme Chunks and Using Contextual Features
Abstract. Automatic transliteration of foreign names is basically regarded as a diminutive clone of the machine translation (MT) problem. It thus follows IBM’s conventional MT mo...
Wei Gao, Kam-Fai Wong, Wai Lam
IMCSIT
2010
13 years 2 months ago
SyMGiza++: A Tool for Parallel Computation of Symmetrized Word Alignment Models
SyMGiza++ -- a tool that computes symmetric word alignment models with the capability to take advantage of multi-processor systems -- is presented. A series of fairly simple modifi...
Marcin Junczys-Dowmunt, Arkadiusz Szal
BMCBI
2007
130views more  BMCBI 2007»
13 years 7 months ago
HMM-ModE - Improved classification using profile hidden Markov models by optimising the discrimination threshold and modifying e
Background: Profile Hidden Markov Models (HMM) are statistical representations of protein families derived from patterns of sequence conservation in multiple alignments and have b...
Prashant K. Srivastava, Dhwani K. Desai, Soumyadee...