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  2. Word Lens - Wikipedia

    en.wikipedia.org/wiki/Word_Lens

    Word Lens was an augmented reality translation application from Quest Visual. [1] Word Lens used the built-in cameras on smartphones and similar devices to quickly scan and identify foreign text (such as that found in a sign or a menu), and then translated and displayed the words in another language on the device's display.

  3. Comparison of machine translation applications - Wikipedia

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

    (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. The Moses site provides links to training corpora.) This is not an all-encompassing list. Some applications have many more language pairs than those listed below.

  4. Reverso (language tools) - Wikipedia

    en.wikipedia.org/wiki/Reverso_(language_tools)

    Reverso's suite of online linguistic services has over 96 million users, and comprises various types of language web apps and tools for translation and language learning. [11] Its tools support many languages, including Arabic, Chinese, English, French, Hebrew, Spanish, Italian, Turkish, Ukrainian and Russian.

  5. Wikipedia:Language recognition chart - Wikipedia

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

    Google Translate, Google's translation service. Xerox, an online language identifier, 47 languages supported; Language Guesser, a statistical language identifier, 74 languages recognized; NTextCat - free Language Identification API for .NET (C#): 280+ languages available out of the box.

  6. Jibbigo - Wikipedia

    en.wikipedia.org/wiki/Jibbigo

    Jibbigo is an offline voice translator and does not need phone or data connectivity to function. [2] Spanish-English Jibbigo was released in September, 2009 as the first offline Speech Translation application. [3] The company has since expanded its offerings to include ten language pairs sold on both Apple's App Store and Google Play.

  7. Language identification - Wikipedia

    en.wikipedia.org/wiki/Language_identification

    The most likely language is the one with the model that is most similar to the model from the text needing to be identified. This approach can be problematic when the input text is in a language for which there is no model. In that case, the method may return another, "most similar" language as its result.