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  2. Google Neural Machine Translation - Wikipedia

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

    The GNMT system was said to represent an improvement over the former Google Translate in that it will be able to handle "zero-shot translation", that is it directly translates one language into another. For example, it might be trained just for Japanese-English and Korean-English translation, but can perform Japanese-Korean translation.

  3. T5 (language model) - Wikipedia

    en.wikipedia.org/wiki/T5_(language_model)

    T5 (Text-to-Text Transfer Transformer) is a series of large language models developed by Google AI introduced in 2019. [1] [2] Like the original Transformer model, [3] T5 models are encoder-decoder Transformers, where the encoder processes the input text, and the decoder generates the output text.

  4. Telugu grammar - Wikipedia

    en.wikipedia.org/wiki/Telugu_grammar

    All literary texts in Telugu follow the Vyākaraṇam. [1] Following pure telugu movement to minimise loan words and maximize usage of native telugu that is naatu telugu, a melimi telugu version is introduced where the term melimi means "fine" or excellence". grammar for this version is telugu nudikattu

  5. Reverso (language tools) - Wikipedia

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

    Reverso is a French company specialized in AI-based language tools, translation aids, and language services. [2] These include online translation based on neural machine translation (NMT), contextual dictionaries, online bilingual concordances, grammar and spell checking and conjugation tools.

  6. 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]

  7. Machine translation - Wikipedia

    en.wikipedia.org/wiki/Machine_translation

    The rule-based machine translation approach was used mostly in the creation of dictionaries and grammar programs. Its biggest downfall was that everything had to be made explicit: orthographical variation and erroneous input must be made part of the source language analyser in order to cope with it, and lexical selection rules must be written ...

  8. Natural language understanding - Wikipedia

    en.wikipedia.org/wiki/Natural_language_understanding

    The "breadth" of a system is measured by the sizes of its vocabulary and grammar. The "depth" is measured by the degree to which its understanding approximates that of a fluent native speaker. At the narrowest and shallowest, English-like command interpreters require minimal complexity, but have a small range of applications.

  9. Telugu language - Wikipedia

    en.wikipedia.org/wiki/Telugu_language

    Nannaya was the first to establish a formal grammar of written Telugu. This grammar followed the patterns which existed in grammatical treatises like Aṣṭādhyāyī and Vālmīkivyākaranam but unlike Pāṇini, Nannayya divided his work into five chapters, covering samjnā, sandhi, ajanta, halanta and kriya.[14]

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