Syntax-based Statistical Machine Translation
نویسندگان
چکیده
منابع مشابه
Syntax-based Statistical Machine Translation
In its early development, machine translation adopted rule-based approaches, which can include the use of language syntax. The late 1980s and early 1990s saw the inception of the statistical machine translation (SMT) approach, where translation models can be learned automatically from a parallel corpus rather than created manually by humans. Initial SMT models were word-based and phrase-based, ...
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Ever since the incipient of computers and the very first introduction of artificial intelligence, machine translation has been a target goal — or better said, a dream that at some point in the past deemed impossible (ALPAC 1966). The problem that machine translation aims to solve is very simple: given a document/sentence in a source language, produce its equivalent in the target language. This ...
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The SDTS has been applied in the field of compiler and in transfer-based machine translation. After the parsing step, the syntactic structure of a sentence is identified. The parse tree will be analyzed, augmented, and transformed by later phases in the SMT system. Those phases are controlled by syntax. We use the stochastic SDTS to model such kind of translation process for phrase-based SMT. T...
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ژورنال
عنوان ژورنال: Synthesis Lectures on Human Language Technologies
سال: 2016
ISSN: 1947-4040,1947-4059
DOI: 10.2200/s00716ed1v04y201604hlt033