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2. Text-to-image model - Wikipedia

   en.wikipedia.org/wiki/Text-to-image_model

   A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description. Text-to-image models began to be developed in the mid-2010s during the beginnings of the AI boom, as a result of advances in deep neural networks. In 2022, the output of state-of-the-art text-to ...

3. Wikipedia:Tools/Editing tools - Wikipedia

   en.wikipedia.org/wiki/Wikipedia:Tools/Editing_tools

   wikEd is a full-featured, in-browser text editor that adds enhanced text processing functions to Wikipedia and other MediaWiki edit pages (currently Mozilla, Firefox, SeaMonkey, Safari, and Chrome only). Features include: Pasting formatted text, e.g. from MS-Word (including tables)

4. Optical character recognition - Wikipedia

   en.wikipedia.org/wiki/Optical_character_recognition

   Optical character recognition or optical character reader ( OCR) is the electronic or mechanical conversion of images of typed, handwritten or printed text into machine-encoded text, whether from a scanned document, a photo of a document, a scene photo (for example the text on signs and billboards in a landscape photo) or from subtitle text ...

5. List of PDF software - Wikipedia

   en.wikipedia.org/wiki/List_of_PDF_software

   LibreOffice. Free ( Mozilla Public License) an Office suite; allows to export (and import, with accuracy limitations) PDF files. Microsoft Word 2013. Proprietary. Desktop software. The 2013 edition of Office allows PDF files to be converted into a format that can be edited. Nitro PDF Reader.

6. Help:WordToWiki - Wikipedia

   en.wikipedia.org/wiki/Help:WordToWiki

   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. Paste the text to a Wikipedia ...

7. Word2vec - Wikipedia

   en.wikipedia.org/wiki/Word2vec

   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 ...