Syntax-Based Context Representation for 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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In a linguistically-motivated syntax-based translation system, the entire translation process is normally carried out in two steps, translation rule matching and target sentence decoding using the matched rules. Both steps are very timeconsuming due to the tremendous number of translation rules, the exhaustive search in translation rule matching and the complex nature of the translation task it...
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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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ژورنال
عنوان ژورنال: IEICE Transactions on Information and Systems
سال: 2018
ISSN: 0916-8532,1745-1361
DOI: 10.1587/transinf.2018edp7209