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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 ...
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.
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 ...
The name Nastaliq "is a contraction of the Persian naskh-i ta'liq ( Persian: نَسْخِ تَعلیق ), meaning a hanging or suspended naskh. " [6] Virtually all Safavid authors (like Dust Muhammad or Qadi Ahmad) attributed the invention of nastaliq to Mir Ali Tabrizi, who lived at the end of the 14th and the beginning of the 15th century.
Microsoft Office Word Add-in For MediaWiki: Converts Word documents to wiki formatting. Doesn't do images. This may not work on newer versions of Word. Excel2Wiki tool for converting Excel tables to wiki tables. Transferring a single wiki page in MediaWiki to Word is easy, just save the desired webpage and then open the page in Microsoft Word ...
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Learn additional security features for AOL Mail. AOL Mail for Verizon Customers · Oct 28, 2023. Get answers to your AOL Mail, login, Desktop Gold, AOL app, password and subscription questions. Find the support options to contact customer care by email, chat, or phone number.
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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