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  2. Google Translate - Wikipedia

    en.wikipedia.org/wiki/Google_Translate

    Originally, Google Translate was released as a statistical machine translation (SMT) service. [12] The input text had to be translated into English first before being translated into the selected language. [12] Since SMT uses predictive algorithms to translate text, it had poor grammatical accuracy. Despite this, Google initially did not hire ...

  3. Comparison of machine translation applications - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_machine...

    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.

  4. Naver Papago - Wikipedia

    en.wikipedia.org/wiki/Naver_Papago

    Naver Papago (Korean: 네이버 파파고), shortened to Papago and stylized as papago, is a multilingual machine translation cloud service provided by Naver Corporation. The name Papago comes from the Esperanto word for parrot , Esperanto being a constructed language.

  5. Google Neural Machine Translation - Wikipedia

    en.wikipedia.org/wiki/Google_Neural_Machine...

    Google Translate previously first translated the source language into English and then translated the English into the target language rather than translating directly from one language to another. [11] A July 2019 study in Annals of Internal Medicine found that "Google Translate is a viable, accurate tool for translating non–English-language ...

  6. Mobile translation - Wikipedia

    en.wikipedia.org/wiki/Mobile_translation

    Mobile translation may include a number of useful features, auxiliary to text translation which forms the basis of the service. While the user can input text using the device keyboard, they can also use pre-existing text in the form of email or SMS messages received on the user's device (email/SMS translation).

  7. Speech translation - Wikipedia

    en.wikipedia.org/wiki/Speech_translation

    It compares the input with a phonological model, consisting of a large corpus of speech data from multiple speakers. The input is then converted into a string of words, using dictionary and grammar of language A, based on a massive corpus of text in language A. The machine translation module then translates this string. Early systems replaced ...

  8. Speech Recognition & Synthesis - Wikipedia

    en.wikipedia.org/wiki/Speech_Recognition_&_Synthesis

    Text-to-Speech may be used by apps such as Google Play Books for reading books aloud, Google Translate for reading aloud translations for the pronunciation of words, Google TalkBack, and other spoken feedback accessibility-based applications, as well as by third-party apps. Users must install voice data for each language.

  9. Interlingual machine translation - Wikipedia

    en.wikipedia.org/wiki/Interlingual_machine...

    Interlingual machine translation is one of the classic approaches to machine translation. In this approach, the source language, i.e. the text to be translated is transformed into an interlingua, i.e., an abstract language-independent representation. The target language is then generated from the interlingua.