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2. Google Translate - Wikipedia

   en.wikipedia.org/wiki/Google_Translate

   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]

3. Babel Fish (website) - Wikipedia

   en.wikipedia.org/wiki/Babel_Fish_(website)

   Babel Fish was a free Web-based machine translation service by Yahoo!. In May 2012 it was replaced by Bing Translator (now Microsoft Translator ), to which queries were redirected. [ 1 ] Although Yahoo! has transitioned its Babel Fish translation services to Bing Translator, it did not sell its translation application to Microsoft outright.

4. Naver Papago - Wikipedia

   en.wikipedia.org/wiki/Naver_Papago

   1:1 Conversation Mode: An interactive translation, translated through speech recognition. Image Translation: The portion of a photo in a gallery or the characters in a newly photographed picture is specified and translated into text. It is available in six languages: Korean, English, Japanese, Chinese, Vietnamese, and Thai. [5]

5. Microsoft Translator - Wikipedia

   en.wikipedia.org/wiki/Microsoft_Translator

   Microsoft Translator or Bing Translator is a multilingual machine translation cloud service provided by Microsoft.Microsoft Translator is a part of Microsoft Cognitive Services [1] and integrated across multiple consumer, developer, and enterprise products, including Bing, Microsoft Office, SharePoint, Microsoft Edge, Microsoft Lync, Yammer, Skype Translator, Visual Studio, and Microsoft ...

6. Reverso (language tools) - Wikipedia

   en.wikipedia.org/wiki/Reverso_(language_tools)

   Reverso's suite of online linguistic services has over 96 million users, and comprises various types of language web apps and tools for translation and language learning. [11] Its tools support many languages, including Arabic, Chinese, English, French, Hebrew, Spanish, Italian, Turkish, Ukrainian and Russian.

7. Rule-based machine translation - Wikipedia

   en.wikipedia.org/wiki/Rule-based_machine_translation

   3rd: parsing the source sentence: (NP an apple) = the object of eat. Often only partial parsing is sufficient to get to the syntactic structure of the source sentence and to map it onto the structure of the target sentence. 4th: translate English words into German a (category = indef.article) => ein (category = indef.article)