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  2. 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.

  3. PDF - Wikipedia

    en.wikipedia.org/wiki/PDF

    Technical details. A PDF file is often a combination of vector graphics, text, and bitmap graphics. The basic types of content in a PDF are: Typeset text stored as content streams (i.e., not encoded in plain text); Vector graphics for illustrations and designs that consist of shapes and lines;

  4. PDF Split and Merge - Wikipedia

    en.wikipedia.org/wiki/PDF_Split_and_Merge

    Merge PDF files selecting entire documents or subsections of them. It provides a number of settings to let the user decide what to do in case the original PDF files contain Acro Forms (Acrobat forms) or an outline and it can generate a table of contents, normalize pages size and page margins and add blank pages.

  5. Smallpdf.com - Wikipedia

    en.wikipedia.org/wiki/Smallpdf.com

    Smallpdf.com. Smallpdf is a Swiss online web-based PDF software, founded in 2013. [2] It offers free services to compress, convert and edit PDF documents.

  6. Mail merge - Wikipedia

    en.wikipedia.org/wiki/Mail_merge

    Mail merge consists of combining mail and letters and pre-addressed envelopes or mailing labels for mass mailings from a form letter. [1]This feature is usually employed in a word processing document which contains fixed text (which is the same in each output document) and variables (which act as placeholders that are replaced by text from the data source word to word).

  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 ...

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