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Google Translate is a web-based free-to-use translation service developed by Google in April 2006. [11] It translates multiple forms of texts and media such as words, phrases and webpages. Originally, Google Translate was released as a statistical machine translation (SMT) service. [11] The input text had to be translated into English first ...
The new translation engine was first enabled for eight languages: to and from English and French, German, Spanish, Portuguese, Chinese, Japanese, Korean and Turkish in November 2016. [24] In March 2017, three additional languages were enabled: Russian, Hindi and Vietnamese along with Thai for which support was added later.
Naver Papago. Naver Papago ( Korean : 네이버 파파고 ), shortened to Papago and stylized as papago, is a multilingual machine translation cloud service provided by Naver Corporation. The name "Papago" comes from the Esperanto word for "parrot", Esperanto being a constructed language [ 1] .
DeepL Translator is a neural machine translation service that was launched in August 2017 and is owned by Cologne -based DeepL SE. The translating system was first developed within Linguee and launched as entity DeepL. It initially offered translations between seven European languages and has since gradually expanded to support 33 languages.
The Korean Wikipedia ( Korean: 한국어 위키백과, romanized : Han-gugeo Wiki Baekgwa) is the Korean language edition of Wikipedia. It was founded on 11 October 2002 and reached ten thousand articles on 4 June 2005. [ 1] As of August 2024, it is the 23rd largest Wikipedia, with 681,113 articles and 1,686 active users. [ 2]
Konglish (Korean: 콩글리시; RR: konggeullisi; [kʰoŋ.ɡɯl.li.ɕi]), more formally Korean-style English (Korean: 한국어식 영어; Hanja: 韓國語式英語; RR: hangugeo-sik yeongeo; [han.ɡu.ɡʌ.ɕik̚ jʌŋ.ʌ]) comprises English and other foreign language loanwords that have been appropriated into Korean, and includes many that are used in ways that are not readily understandable ...
View a machine-translated version of the Korean article. Machine translation, like DeepL or Google Translate, is a useful starting point for translations, but translators must revise errors as necessary and confirm that the translation is accurate, rather than simply copy-pasting machine-translated text into the English Wikipedia.
Reverso has been active since 1998, with the aim of providing online translation and linguistic tools to corporate and mass markets. [3] [4] In 2013 it released Reverso Context, a bilingual dictionary tool based on big data and machine learning algorithms. [5] In 2016 Reverso acquired Fleex, a service for learning English via subtitled movies.
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