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Machine translation is use of computational techniques to translate text or speech from one language to another, including the contextual, idiomatic and pragmatic nuances of both languages. Early approaches were mostly rule-based or statistical. These methods have since been superseded by neural machine translation [1] and large language models ...
Google Translate is a multilingual neural machine translation service developed by Google to translate text, documents and websites from one language into another. It offers a website interface, a mobile app for Android and iOS, as well as an API that helps developers build browser extensions and software applications. [3]
A "back-translation" is a translation of a translated text back into the language of the original text, made without reference to the original text. Comparison of a back-translation with the original text is sometimes used as a check on the accuracy of the original translation, much as the accuracy of a mathematical operation is sometimes ...
The following table compares the number of languages which the following machine translation programs can translate between. (Moses and Moses for Mere Mortals allow you to train translation models for any language pair, though collections of translated texts (parallel corpus) need to be provided by the user.
Text translation: The Microsoft Translator Text API can be used to translate text into any of the languages supported by the service. Speech translation: Microsoft Translator is integrated into Microsoft Speech services which is an end-to-end REST based API that can be used to build applications, tools, or any solution requiring multi-languages ...
In translation and semantics, dynamic equivalence and formal equivalence are seen as the main approaches to translation that prioritize either the meaning or literal structure of the source text respectively. The distinction was originally articulated by Eugene Nida in the context of Bible translation.
Reverso is a French company specialized in AI-based language tools, translation aids, and language services. [2] These include online translation based on neural machine translation (NMT), contextual dictionaries, online bilingual concordances, grammar and spell checking and conjugation tools.
In a rule-based machine translation system the original text is first analysed morphologically and syntactically in order to obtain a syntactic representation. This representation can then be refined to a more abstract level putting emphasis on the parts relevant for translation and ignoring other types of information.
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