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The following methods both perform: Word → HTML → MediaWiki. Quick. Open your document in Word, and "save as" an HTML file. 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.
t. e. A source-to-source translator, source-to-source compiler ( S2S compiler ), transcompiler, or transpiler [1] [2] [3] is a type of translator that takes the source code of a program written in a programming language as its input and produces an equivalent source code in the same or a different programming language.
This help page is a . The markup language called wikitext, also known as wiki markup or wikicode, consists of the syntax and keywords used by the MediaWiki software to format a page. (Note the lowercase spelling of these terms. [a]) To learn how to see this hypertext markup, and to save an edit, see Help:Editing.
Active. Google Translate is a multilingual neural machine translation service developed by Google to translate text, documents and websites from one language into another. It offers a website interface, a mobile app for Android and iOS, as well as an API that helps developers build browser extensions and software applications. [3]
To link to a Wikipedia article in a particular language inline (as opposed to the links in the sidebar), use [[:language code:Title]]. To link to a page on a different project in a particular language, expand the above syntax with a code for the project from the table below in § Prefix codes for linking to projects, as in [[:project:language ...
Program execution. In computing, a compiler is a computer program that translates computer code written in one programming language (the source language) into another language (the target language). The name "compiler" is primarily used for programs that translate source code from a high-level programming language to a low-level programming ...
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 ...
Semantic parsing is the task of converting a natural language utterance to a logical form: a machine-understandable representation of its meaning. [1] Semantic parsing can thus be understood as extracting the precise meaning of an utterance. Applications of semantic parsing include machine translation, [2] question answering, [1] [3] ontology ...