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  2. List of ISO 639 language codes - Wikipedia

    en.wikipedia.org/wiki/List_of_ISO_639_language_codes

    ISO 639 is a standardized nomenclature used to classify languages. [1] Each language is assigned a two-letter (set 1) and three-letter lowercase abbreviation (sets 2–5). [ 2 ] Part 1 of the standard, ISO 639-1 defines the two-letter codes, and Part 3 (2007), ISO 639-3 , defines the three-letter codes, aiming to cover all known natural ...

  3. Google Translate - Wikipedia

    en.wikipedia.org/wiki/Google_Translate

    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 ]

  4. List of ISO 639-2 codes - Wikipedia

    en.wikipedia.org/wiki/List_of_ISO_639-2_codes

    Where two ISO 639-2 codes are given in the table, the one with the asterisk is the bibliographic code (B code) and the other is the terminological code (T code). Entries in the Scope column distinguish: individual language; collections of languages connected, for example genetically or by region; macrolanguages. The Type column distinguishes:

  5. Template:Google translation - Wikipedia

    en.wikipedia.org/wiki/Template:Google_translation

    WP:EL#Non-English language content advises against linking to non-English content from articles in the English Wikipedia, but does not forbid it in all cases.Links to machine-translated pages from articles may lead to disputes with other editors, who may feel the quality of translation is insufficient to create a reliable source.

  6. Google Neural Machine Translation - Wikipedia

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

    GNMT's proposed architecture of system learning was first tested on over a hundred languages supported by Google Translate. [2] With the large end-to-end framework, the system learns over time to create better, more natural translations. [1] GNMT attempts to translate whole sentences at a time, rather than just piece by piece. [1]

  7. IETF language tag - Wikipedia

    en.wikipedia.org/wiki/IETF_language_tag

    An IETF BCP 47 language tag is a standardized code that is used to identify human languages on the Internet. [1] The tag structure has been standardized by the Internet Engineering Task Force (IETF) [ 1 ] in Best Current Practice (BCP) 47 ; [ 1 ] the subtags are maintained by the IANA Language Subtag Registry .

  8. 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.

  9. Hindi–Urdu transliteration - Wikipedia

    en.wikipedia.org/wiki/Hindi–Urdu_transliteration

    Note that Hindi–Urdu transliteration schemes can be used for Punjabi as well, for Gurmukhi (Eastern Punjabi) to Shahmukhi (Western Punjabi) conversion, since Shahmukhi is a superset of the Urdu alphabet (with 2 extra consonants) and the Gurmukhi script can be easily converted to the Devanagari script.