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  2. Linguistic relativity and the color naming debate - Wikipedia

    en.wikipedia.org/wiki/Linguistic_relativity_and...

    If a language contains five terms, then it contains terms for both green and yellow. If a language contains six terms, then it contains a term for blue. If a language contains seven terms, then it contains a term for brown. If a language contains eight or more terms, then it contains terms for purple, pink, orange or gray.

  3. Comparison of different machine translation approaches

    en.wikipedia.org/wiki/Comparison_of_different...

    A rendition of the Vauquois triangle, illustrating the various approaches to the design of machine translation systems.. The direct, transfer-based machine translation and interlingual machine translation methods of machine translation all belong to RBMT but differ in the depth of analysis of the source language and the extent to which they attempt to reach a language-independent ...

  4. 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.

  5. Blue–green distinction in language - Wikipedia

    en.wikipedia.org/wiki/Blue–green_distinction_in...

    The notion of "green" in modern European languages corresponds to light wavelengths of about 520–570 nm, but many historical and non-European languages make other choices, e.g. using a term for the range of ca. 450–530 nm ("blue/green") and another for ca. 530–590 nm ("green/yellow"). In many languages, the colors described in English as ...

  6. Speech translation - Wikipedia

    en.wikipedia.org/wiki/Speech_translation

    Speech translation is the process by which conversational spoken phrases are instantly translated and spoken aloud in a second language. This differs from phrase translation, which is where the system only translates a fixed and finite set of phrases that have been manually entered into the system.

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