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Statistical machine translation (SMT) is a machine translation paradigm where translations are generated on the basis of statistical models whose parameters are derived from the analysis of bilingual text corpora. The statistical approach contrasts with the rule-based approaches to machine translation as well as with example-based machine translation.
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Computer-assisted translation, computer-aided translation, or CAT is a form of translation wherein a human translator translates texts using computer software designed to support and facilitate the translation process.
Computer-assisted translation is sometimes called machine-assisted, or machine-aided, translation.
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The Example-based machine translation (EBMT) approach to machine translation is often characterized by its use of a bilingual corpus with parallel texts as its main knowledge base, at run-time. It is essentially a translation by analogy and can be viewed as an implementation of case-based reasoning approach of machine learning.
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The rule-based machine translation paradigm includes transfer-based machine translation, interlingual machine translation and dictionary-based machine translation paradigms. The RBMT typically uses formal models of our knowledge of language, linguistic intuition of developers.
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Transfer-based machine translation is a type of machine translation, it is based on the idea of interlingua and is currently one of the most widely used methods of machine translation

Evaluation of machine translation (MT) output is a challenging task. In most cases, there is no single correct translation. In the extreme case, two translations of the same input can have completely different words and sentence structure while still both being perfectly valid. This forum covers the methods for automatic evaluation of MT.
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Because humans are the golden standard for using language, obviously human evaluation is the holy grail for evaluation for machine translations, however human evaluation is very time-consuming and therefore not always an option to do that.
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Babel Fish is a web-based application developed by AltaVista (now part of Yahoo!) which machine translates text or web pages from one of several languages into another. It takes its name from the Babel fish, a fictional animal used for instantaneous language translation in Douglas Adams' novel The Hitchhiker's Guide to the Galaxy. The word Babel is a borrowed reference to the biblical account of the city of Babel and the various languages which were said to have arisen there. The translation technology for Babel Fish is provided by SYSTRAN, whose technology also powers most of the language pairs for the translators of the bigger part of the websites which support machine translation services.
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Google Translate is as a beta service provided by Google Inc. to translate a section of text, or a webpage, into another language, with limits to the number of paragraphs, or range of technical terms, translated.
Unlike other translation services such as Babel Fish, AOL, and Yahoo which use SYSTRAN, Google uses its own translation software.
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If you'd like a new forum to be added under this category please post a message here and after discussing it we might do so.

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For general questions that do not fit in any other categoty or forum post here.
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Put all "trivial" posts here.

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