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Bayesian Word Alignment for Massively Parallel Texts
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由 R Östling 著作2014被引用 25 次 — In this work, I present a non- parametric Bayesian model that can be used for simultaneous word alignment in massively parallel corpora. This method is ...
Bayesian Word Alignment for Massively Parallel Texts.
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While the basic task is similar, there are also important differences in purpose, method and evaluation between the problems.In this work, I present a ...
Bayesian Word Alignment for Massively Parallel Texts
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Download Citation | On Jan 1, 2014, Robert Östling published Bayesian Word Alignment for Massively Parallel Texts | Find, read and cite all the research you ...
Bayesian Word Alignment for Massively Parallel Texts
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由 R Östling 著作2014被引用 25 次 — In this work, I present a non-parametric Bayesian model that can be used for simultaneous word alignment in massively parallel corpora. This ...
Bayesian Word Alignment for Massively Parallel Texts
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In this work, I present a non-parametric Bayesian model that can be used for simultaneous word alignment in massively parallel corpora. This method is evaluated ...
Bayesian Word Alignment for Massively Parallel Texts
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Bayesian Word Alignment for Massively Parallel Texts. Author. Östling, Robert. Conference. Proceedings of the 14th Conference of the European Chapter of the ...
Bayesian Word Alignment for Statistical Machine Translation.
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In this work, we compare the translation performance of word alignments obtained via Bayesian inference to those obtained via expectation-maximization (EM).
[PDF] Bayesian Models for Multilingual Word Alignment
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This thesis explores Bayesian models for word alignment, how they can be improved through joint annotation transfer, and how these can be extended to ...
Robert Östling - Google 學術搜尋 - Google Scholar
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Bayesian word alignment for massively parallel texts. R Östling. 14th Conference of the European Chapter of the Association for Computational …, 2014. 25, 2014.
Improving Statistical Machine Translation Using Bayesian ...
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由 C Mermer 著作2013被引用 22 次 — Given a sentence-aligned par- allel corpus, the goal of the word alignment is to identify the mapping between the source and target words in parallel sen-.