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In natural language processing, a word embedding is a representation of a word. The embedding is used in text analysis.Typically, the representation is a real-valued vector that encodes the meaning of the word in such a way that the words that are closer in the vector space are expected to be similar in meaning. [1]
Both OpenOffice.org and LibreOffice support font embedding in the PDF export feature. [3] Font embedding in word processors is not widely supported nor interoperable. [4] [5] For example, if a .rtf file made in Microsoft Word is opened in LibreOffice Writer, it will usually remove the embedded fonts. [citation needed]
Syntax highlighting: Displays text in different colors and fonts according to the category of terms. Function list : Lists all functions from current file in a window or sidebar and allows user to jump directly to the definition of that function for example by double-clicking on the function name in the list.
Program Windows macOS GNU/Linux BSD BeOS/Zeta AmigaOS/MorphOS UNIX Other AbiWord: Yes No Yes Yes No No No QNX, Solaris: AppleWorks: Yes Yes No No No No No No Applix Word: Yes No
is the text editor in PC DOS 6, PC DOS 7 and PC DOS 2000. Proprietary: ed: The default line editor on Unix since the birth of Unix. Either ed or a compatible editor is available on all systems labeled as Unix (not by default on every one). Free software: ED: The default editor on CP/M, MP/M, Concurrent CP/M, CP/M-86, MP/M-86, Concurrent CP/M-86 ...
Some reference management software include support for automatic embedding and (re)formatting of references in Word processor programs. This table lists this type of support for Microsoft Word , Pages , Apache OpenOffice / LibreOffice Writer , the LaTeX editors Kile and LyX , and Google Docs .
This is a list of free and open-source software packages (), computer software licensed under free software licenses and open-source licenses.Software that fits the Free Software Definition may be more appropriately called free software; the GNU project in particular objects to their works being referred to as open-source. [1]
IWE combines Word2vec with a semantic dictionary mapping technique to tackle the major challenges of information extraction from clinical texts, which include ambiguity of free text narrative style, lexical variations, use of ungrammatical and telegraphic phases, arbitrary ordering of words, and frequent appearance of abbreviations and acronyms ...