Phrase Alignment for Example-Based Machine Translation.
نویسندگان
چکیده
منابع مشابه
Example-Based Paraphrasing for Improved Phrase-Based Statistical Machine Translation
In this article, an original view on how to improve phrase translation estimates is proposed. This proposal is grounded on two main ideas: first, that appropriate examples of a given phrase should participate more in building its translation distribution; second, that paraphrases can be used to better estimate this distribution. Initial experiments provide evidence of the potential of our appro...
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Phrase Alignment Models for Statistical Machine Translation by John Sturdy DeNero Doctor of Philosophy in Computer Science University of California, Berkeley Professor Dan Klein, Chair The goal of a machine translation (MT) system is to automatically translate a document written in some human input language (e.g., Mandarin Chinese) into an equivalent document written in an output language (e.g....
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The first pattern recognition approaches to machine translation were based on single-word models. However, these models present an important deficiency; they do not take contextual information into account for the translation decision. The phrase-based approach consists in translating a multiword source sequence into a multiword target sequence, instead of a single source word into a single tar...
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ژورنال
عنوان ژورنال: Journal of Natural Language Processing
سال: 2003
ISSN: 1340-7619,2185-8314
DOI: 10.5715/jnlp.10.5_75