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Coerced Markov Models for Cross-Lingual Lexical-Tag Relations
Fung, Pascale; Wu, Dekai. - : Department of Computer Science, Columbia University, 1995
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Coerced Markov Models For Cross-Lingual Lexical-Tag Relations
Fung, Pascale; Wu, Dekai. - : Proceedings of the Sixth International Conference on Theoretical and Methodological Issues in Machine Translation, 1995
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Coerced Markov Models For Cross-Lingual Lexical-Tag Relations ...
Fung, Pascale; Wu, Dekai. - : Columbia University, 1995
Abstract: We introduce the Coerced Markov Model (CMM) to model the relationship between the lexical sequence of a source language and the tag sequence of a target language, with the objective of constraining search in statistical transfer-based machine translation systems. CMMs differ from Hidden Markov Models in that state sequence assignments can take on values coerced from external sources. Given a Chinese sentence, a CMM can be used to predict the corresponding English tag sequence, thus constraining the English lexical sequence produced by a translation model. The CMM can also be used to score competing translation hypotheses in N-best models. Three fundamental problems for CMM designed are discussed. Their solutions lead to the training and testing stages of CMM. ...
Keyword: Computer science; Information technology
URL: https://academiccommons.columbia.edu/doi/10.7916/D86117MK
https://dx.doi.org/10.7916/d86117mk
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Coerced Markov Models for Cross-Lingual Lexical-Tag Relations ...
Fung, Pascale; Wu, Dekai. - : Columbia University, 1995
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