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  1. Legal interpreting can be the consecutive interpretation of witnesses' testimony, for example, or the simultaneous interpretation of entire proceedings, by electronic means, for one person, or all of the people attending. In a legal context, where ramifications of misinterpretation may be dire, accuracy is paramount.

  2. Kural translations by language. v. t. e. Literal translation, direct translation, or word-for-word translation is a translation of a text done by translating each word separately without looking at how the words are used together in a phrase or sentence. [1]

  3. en.wikipedia.org › wiki › EsperantoEsperanto - Wikipedia

    Esperanto ( / ˌɛspəˈrɑːntoʊ /, /- æntoʊ /) [7] [8] is the world's most widely spoken constructed international auxiliary language. Created by L. L. Zamenhof in 1887, it is intended to be a universal second language for international communication, or "the international language" ( la Lingvo Internacia ). Zamenhof first described the ...

  4. The Russian Wikipedia ( Russian: Русская Википедия, romanized : Russkaya Vikipediya) is the Russian-language edition of Wikipedia. As of May 2024, it has 1,979,412 articles. It was started on 11 May 2001. [1] In October 2015, it became the sixth-largest Wikipedia by the number of articles. It has the sixth-largest number of ...

  5. 96 million monthly active users (June 2019) [1] Reverso is a French company specialized in AI-based language tools, translation aids, and language services. [2] These include online translation based on neural machine translation (NMT), contextual dictionaries, online bilingual concordances, grammar and spell checking and conjugation tools.

  6. The Japanese Wikipedia (ウィキペディア日本語版, Wikipedia Nihongoban, lit. 'Japanese-language version of Wikipedia') is the Japanese-language edition of Wikipedia, a free, open-source online encyclopedia. Started on 11 May 2001, [1] the edition attained the 200,000 article mark in April 2006 and the 500,000 article mark in June 2008.

  7. Machine translation is use of either rule-based or probabilistic (i.e. statistical and, most recently, neural network-based) machine learning approaches to translation of text or speech from one language to another, including the contextual, idiomatic and pragmatic nuances of both languages.

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