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2. PDFtk - Wikipedia

   en.wikipedia.org/wiki/Pdftk

   PDFtk (short for PDF Toolkit) is a toolkit for manipulating Portable Document Format (PDF) documents. [3] [4] It runs on Linux, Windows and macOS. [5] It comes in three versions: PDFtk Server (open-source command-line tool), PDFtk Free and PDFtk Pro (proprietary paid). [2] It is able to concatenate, shuffle, split and rotate PDF files.

3. 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 ...

4. Interlinear gloss - Wikipedia

   en.wikipedia.org/wiki/Interlinear_gloss

   When glossed, each line of the original text acquires one or more corresponding lines of transcription known as an interlinear text or interlinear glossed text (IGT) – an interlinear for short. Such glosses help the reader follow the relationship between the source text and its translation, and the structure of the original language.

5. Sphinx (documentation generator) - Wikipedia

   en.wikipedia.org/wiki/Sphinx_(documentation...

   Sphinx converts reStructuredText files into HTML websites and other formats including PDF, EPub, Texinfo and man. reStructuredText is extensible, and Sphinx exploits its extensible nature through a number of extensions – for autogenerating documentation from source code, writing mathematical notation or highlighting source code, etc.

6. Poppler (software) - Wikipedia

   en.wikipedia.org/wiki/Poppler_(software)

   Poppler is a free and open-source software library for rendering Portable Document Format (PDF) documents. Its development is supported by freedesktop.org . Commonly used on Linux systems, [ 4 ] it powers the PDF viewers of the GNOME and KDE desktop environments .

7. Word2vec - Wikipedia

   en.wikipedia.org/wiki/Word2vec

   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.