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  1. This page is a short introduction to the Wikipedia's multilingual concepts. The main central place for the coordination of all the Wikimedia projects (in any language) is the Meta-Wiki (located at meta.wikimedia.org). The mailing list to coordinate Wikipedia across different languages is Wikipedia-l.

  2. A multilingual person is someone who can communicate in more than one language actively (through speaking, writing, or signing). Multilingual people can logically speak any language they write in (aside from mute multilingual people), but they cannot necessarily write in any language they speak.

  3. Apr 1, 2021 · The primary goal of Wikifunctions is to enable the multilingual Wikipedia: define the constructors for abstract content and implement the rendering function. This will lead to the creation of an open, widely usable, and well-tested multilingual natural language generation library.

  4. Mar 8, 2018 · Few websites are as massively multilingual as Wikipedia. An article on Wikipedia may be available in several languages—and readers and editors may want to view that article in a language other than the one their browser automatically selects. This creates some challenges for the Wikimedia Foundation’s Language team, which formed in 2011.

  5. Mar 21, 2024 · "Multilingual Wikipedia" refers to the many language editions Wikipedia has. This page serves for the communication with and between these editions. Contacting Wikipedias[edit] All Wikipedia Pin Board: If you have information that is important to all Wikipedias, such as news about elections or translatewiki.net, please put it on this page.

  6. Multilingualism is considered the use of more than one language by an individual or community of speakers. [1] Globalization is commonly defined as the international movement toward economic, trade, technological, and communications integration and concerns itself with interdependence and interconnectedness.

  7. Learning multilingual named entity recognition from Wikipedia. We automatically create enormous, free and multilingual silver-standard training annotations for named entity recognition (ner) by exploiting the text and structure of Wikipedia. Most ner systems rely on statistical models of annotated data to identify ...

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