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  2. Help:WordToWiki - Wikipedia

    en.wikipedia.org/wiki/Help:WordToWiki

    Open your document in Word, and "save as" an HTML file. Open the HTML file in a text editor and copy the HTML source code to the clipboard. Paste the HTML source into the large text box labeled "HTML markup:" on the html to wiki page. Click the blue Convert button at the bottom of the page.

  3. InPage - Wikipedia

    en.wikipedia.org/wiki/InPage

    InPage is a software developed by Concept Software Pvt. Ltd. in 1994 for creating documents in Urdu and other languages using Nastaliq script. It supports WYSIWYG display, Unicode fonts and has been used in Pakistan and India.

  4. Nastaliq - Wikipedia

    en.wikipedia.org/wiki/Nastaliq

    Nastaliq is a calligraphic hand used for Persian, Urdu, Kashmiri and other languages written in Perso-Arabic script. Learn about its origin, development, characteristics and variations from this comprehensive article.

  5. Urdu alphabet - Wikipedia

    en.wikipedia.org/wiki/Urdu_alphabet

    Learn about the history, script and letters of the Urdu alphabet, a modification of the Persian alphabet derived from the Arabic script. See examples of Nastaʿlīq, the dominant style of Urdu calligraphy, and compare it with other abjad scripts.

  6. Kashmiri transliteration - Wikipedia

    en.wikipedia.org/wiki/Kashmiri_transliteration

    Transliteration is hence essential to cross this script-barrier imposed by religious affiliations and convert texts to cater all the Kashmiri people.

  7. Devanagari transliteration - Wikipedia

    en.wikipedia.org/wiki/Devanagari_transliteration

    Learn about the different methods of transliterating Devanagari, an Indic script used for many languages of North India and Nepal, into Roman script. Compare IAST, Hunterian, ISO 15919, ASCII and other schemes with examples and features.

  8. Urdu - Wikipedia

    en.wikipedia.org/wiki/Urdu

    Urdu is an Indo-Aryan language spoken mainly in South Asia, with Persian influences and a common vocabulary base with Hindi. Learn about its etymology, development, official status, and linguistic characteristics from this comprehensive article.

  9. Word2vec - Wikipedia

    en.wikipedia.org/wiki/Word2vec

    Word2vec is a natural language processing technique that learns vector representations of words based on their contexts in a large corpus. It uses two model architectures: Continuous Bag-Of-Words and continuous skip-gram, and has applications in semantic similarity, text generation, and machine translation.

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