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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. Select the text in the "Wiki markup:" text box and copy it to the clipboard.
InPage. InPage is a word processor and page layout software by Concept Software Pvt. Ltd., an Indian information technology company. It is used for languages such as Urdu, Arabic, Balti, Balochi, Burushaski, Pashto, Persian, Punjabi, Sindhi and Shina under Windows and macOS. It was first developed in 1994 and is primarily used for creating ...
The Urdu alphabet ( Urdu: اردو حروفِ تہجی, romanized : urdū ḥurūf-i tahajjī) is the right-to-left alphabet used for writing Urdu. It is a modification of the Persian alphabet, which itself is derived from the Arabic script. It has official status in the republics of Pakistan, India and South Africa.
The Urdu keyboard is any keyboard layout for Urdu computer and typewriter keyboards. Since the first Urdu typewriter was made available in 1911, the layout has gone through various phases of evolution. [1] With time, the variety of layouts introduced in the 1950s for mechanized compositions have reduced to very few that are compatible with the ...
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Wonder how many words can a WordChuck chuck? Then drop into a community game and find out! Make as many words as you can from the scrambled word grid to score points before the timer expires. By ...
If a word is of Persian or Arabic origin, the level of speech is considered to be more formal and grander. Similarly, if Persian or Arabic grammar constructs, such as the izafat, are used in Urdu, the level of speech is also considered more formal. If a word is inherited from Sanskrit, the level of speech is considered more colloquial and personal.
e. Word2vec is a technique in natural language processing (NLP) for obtaining vector representations of words. These vectors capture information about the meaning of the word based on the surrounding words. The word2vec algorithm estimates these representations by modeling text in a large corpus. Once trained, such a model can detect synonymous ...
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