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  2. Bhashini - Wikipedia

    en.wikipedia.org/wiki/Bhashini

    Bhashini is an Indian government project developed by Ministry of Electronics and Information Technology under its "National Language Translation Mission." It aims to help Indian citizens translate content in various Indian languages and enable effective communication among different-language speakers across India, and thus reduce the language barrier in India.

  3. Language transfer - Wikipedia

    en.wikipedia.org/wiki/Language_transfer

    Blackboard in Harvard classroom shows students' efforts at placing the ü and acute accent diacritics used in Spanish orthography.. When the relevant unit or structure of both languages is the same, linguistic interference can result in correct language production called positive transfer: here, the "correct" meaning is in line with most native speakers' notions of acceptability. [3]

  4. 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]

  5. Interlingual machine translation - Wikipedia

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

    The first type of system corresponds to that outlined in Figure 1. while the other types would be approximated by the diagram in Figure 4. The following resources are necessary to an interlingual machine translation system: Figure 4. Machine translation in a knowledge-based system.

  6. Google Neural Machine Translation - Wikipedia

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

    By 2020, the system had been replaced by another deep learning system based on a Transformer encoder and an RNN decoder. [10] GNMT improved on the quality of translation by applying an example-based (EBMT) machine translation method in which the system learns from millions of examples of language translation. [2]

  7. Crosslinguistic influence - Wikipedia

    en.wikipedia.org/wiki/Crosslinguistic_influence

    Translation equivalents are two corresponding words in two separate languages with the same meaning. Also, it is common for the child to use two different languages in a single utterance. The syntactic rules are hard to define because of the lack of two-word and three-word utterances by the bilingual child.

  8. Apertium - Wikipedia

    en.wikipedia.org/wiki/Apertium

    Pipeline of Apertium machine translation system. This is an overall, step-by-step view how Apertium works. The diagram displays the steps that Apertium takes to translate a source-language text (the text we want to translate) into a target-language text (the translated text). Source language text is passed into Apertium for translation.

  9. Code-switching - Wikipedia

    en.wikipedia.org/wiki/Code-switching

    In some cases, linguists refer to the benefits and disadvantages of language transfer as two separate phenomena, i.e., language transference and language interference, respectively. [23] In such views, these two kinds of language transfer , along with code-switching, comprise what is known as cross-linguistic influence.