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  2. 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

  3. 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.

  4. Google Neural Machine Translation - Wikipedia

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

    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] GNMT's proposed architecture of system learning was first tested on over a hundred languages supported by Google Translate. [ 2 ]

  5. 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]

  6. Transfer-based machine translation - Wikipedia

    en.wikipedia.org/wiki/Transfer-based_machine...

    The translation is generated from this representation using both bilingual dictionaries and grammatical rules. It is possible with this translation strategy to obtain fairly high quality translations, with accuracy in the region of 90% [ vague ] (although this is highly dependent on the language pair in question, for example the distance ...

  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. Artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence

    Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]