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  2. Hindi pronouns - Wikipedia

    en.wikipedia.org/wiki/Hindi_Pronouns

    The personal pronouns and possessives in Modern Standard Hindi of the Hindustani language displays a higher degree of inflection than other parts of speech. Personal pronouns have distinct forms according to whether they stand for a subject ( nominative ), a direct object ( accusative ), an indirect object ( dative ), or a reflexive object.

  3. Hindustani grammar - Wikipedia

    en.wikipedia.org/wiki/Hindustani_grammar

    Compound verbs, a highly visible feature of Hindi–Urdu grammar, consist of a verbal stem plus a light verb. The light verb (also called "subsidiary", "explicator verb", and "vector" [ 55 ] ) loses its own independent meaning and instead "lends a certain shade of meaning" [ 56 ] to the main or stem verb, which "comprises the lexical core of ...

  4. Kannauji language - Wikipedia

    en.wikipedia.org/wiki/Kannauji_language

    In metaphor a word is objected on another one because of some similarity. In metaphoric expansion a word is used in different situations and environments due to one similar quality. The meaning of a word is expanded metaphorically in this word formation process. For example: dama:d → sarka:r ko dama:d. dama:d is a son-in-law .

  5. Hindustani verbs - Wikipedia

    en.wikipedia.org/wiki/Hindustani_verbs

    The light verb (also called "subsidiary", "explicator verb", and "vector" [20]) loses its own independent meaning and instead "lends a certain shade of meaning" [21] to the main or stem verb, which "comprises the lexical core of the compound". [20] While almost any verb can act as a main verb, there is a limited set of productive light verbs. [22]

  6. How personal turmoil helped Abby Wambach find her voice in ...

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    From the depths of divorce and drinking to the surge of inspiration she gets by her new career, listen up: The USWNT legend has a story to tell.

  7. LanguageTool - Wikipedia

    en.wikipedia.org/wiki/LanguageTool

    The core app itself is free and open-source and can be downloaded for offline use. Some languages use ' n-gram ' data, [ 7 ] which is massive and requires considerable processing power and I/O speed, for some extra detections.

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