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  2. Google Translate - Wikipedia

    en.wikipedia.org/wiki/Google_Translate

    If "Detect language" is selected, text in an unknown language can be automatically identified. In the web interface, users can suggest alternate translations, such as for technical terms, or correct mistakes. These suggestions may be included in future updates to the translation process.

  3. Speech recognition - Wikipedia

    en.wikipedia.org/wiki/Speech_recognition

    Both acoustic modeling and language modeling are important parts of modern statistically based speech recognition algorithms. Hidden Markov models (HMMs) are widely used in many systems. Language modeling is also used in many other natural language processing applications such as document classification or statistical machine translation.

  4. Voice search - Wikipedia

    en.wikipedia.org/wiki/Voice_search

    Then, the search system will detect the language spoken by the user. It will then detect the keywords and context of the sentence. Lastly, the device will return results depending on its output. A device with a screen might display the results, while a device without a screen will speak them back to the searcher.

  5. Comparison of machine translation applications - Wikipedia

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

    This is not an all-encompassing list. Some applications have many more language pairs than those listed below. This is a general comparison of key languages only. A full and accurate list of language pairs supported by each product should be found on each of the product's websites.

  6. Language identification - Wikipedia

    en.wikipedia.org/wiki/Language_identification

    Another technique, as described by Cavnar and Trenkle (1994) and Dunning (1994) is to create a language n-gram model from a "training text" for each of the languages. These models can be based on characters (Cavnar and Trenkle) or encoded bytes (Dunning); in the latter, language identification and character encoding detection are integrated ...

  7. Microsoft Translator - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Translator

    Microsoft Translator or Bing Translator is a multilingual machine translation cloud service provided by Microsoft.Microsoft Translator is a part of Microsoft Cognitive Services [1] and integrated across multiple consumer, developer, and enterprise products, including Bing, Microsoft Office, SharePoint, Microsoft Edge, Microsoft Lync, Yammer, Skype Translator, Visual Studio, and Microsoft ...

  8. Wikipedia:Language recognition chart - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Language...

    Accented letters: â ç è é ê î ô û, rarely ë ï ; ù only in the word où, à only at the ends of a few words (including à).Never á í ì ó ò ú.; Angle quotation marks: « » (though "curly-Q" quotation marks are also used); dialogue traditionally indicated by means of dashes.

  9. Applications of artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Applications_of_artificial...

    This potentially reduces language barriers in global commerce and cross-cultural exchange, enabling speakers of various languages to communicate with one another. [18] AI has been used to automatically translate spoken language and textual content in products such as Microsoft Translator, Google Translate, and DeepL Translator. [19]

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