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  2. Tanglish - Wikipedia

    en.wikipedia.org/wiki/Tanglish

    A characteristic of Tanglish or Tamil-English code-switching is the addition of Tamil affixes to English words. [12] The sound "u" is added at the end of an English noun to create a Tamil noun form, as in "sound u " and the words "girl-u heart-u black-u" in the lyrics of "Why This Kolaveri Di".

  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. Google Neural Machine Translation - Wikipedia

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

    Google Translate previously first translated the source language into English and then translated the English into the target language rather than translating directly from one language to another. [11] A July 2019 study in Annals of Internal Medicine found that "Google Translate is a viable, accurate tool for translating non–English-language ...

  5. Tinglish - Wikipedia

    en.wikipedia.org/wiki/Tinglish

    Characteristics and examples (direct translation) include [dubious – discuss]: omission of pronouns; zero copula; use of present tense + already, in contrast to past tense of Standard English (but similar to the recent past tense in Irish English) non-standard use or omissions of articles, declension, prepositions, and conjugation.

  6. Tamil language - Wikipedia

    en.wikipedia.org/wiki/Tamil_language

    Tamil has three simple tenses—past, present, and future—indicated by the suffixes, as well as a series of perfects indicated by compound suffixes. Mood is implicit in Tamil, and is normally reflected by the same morphemes which mark tense categories. Tamil verbs also mark evidentiality, through the addition of the hearsay clitic ām. [108]

  7. 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.

  8. DeepL Translator - Wikipedia

    en.wikipedia.org/wiki/DeepL_Translator

    A 2018 paper by the University of Bologna evaluated the Italian-to-German translation capabilities and found the preliminary results to be similar in quality to Google Translate. [42] In September 2021, Slator remarked that the language industry response was more measured than the press and noted that DeepL is still highly regarded by users. [43]

  9. Azhagi (software) - Wikipedia

    en.wikipedia.org/wiki/Azhagi_(Software)

    Azhagi is the first successful Tamil transliteration tool [6] which has many users throughout the world. Azhagi helps the user to create and edit contents in several Indian languages including Tamil, Hindi, Sanskrit, Telugu, Kannada, Malayalam, Marathi, Konkani, Gujarati, Bengali, Punjabi, Oriya and Assamese without having to know how to type in these languages.