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2. DeepL Translator - Wikipedia

   en.wikipedia.org/wiki/DeepL_Translator

   Translation software for Microsoft Windows and macOS was released in September 2019. [12] Support for Chinese (simplified) and Japanese was added on 19 March 2020, which the company claimed to have surpassed the aforementioned competitors as well as Baidu and Youdao. [32] [33] Then, 13 more European languages were added in March 2021. [34]

3. Naver Papago - Wikipedia

   en.wikipedia.org/wiki/Naver_Papago

   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 .

4. 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]

5. Linguee - Wikipedia

   en.wikipedia.org/wiki/Linguee

   Linguee is an online bilingual concordance that provides an online dictionary for a number of language pairs, including many bilingual sentence pairs. As a translation aid, Linguee differs from machine translation services like Babel Fish, and is more similar in function to a translation memory.

6. Reverso (language tools) - Wikipedia

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

   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.

7. Google Neural Machine Translation - Wikipedia

   en.wikipedia.org/wiki/Google_Neural_Machine...

   Google Translate's NMT system uses a large artificial neural network capable of deep learning. [1] [2] [3] By using millions of examples, GNMT improves the quality of translation, [2] using broader context to deduce the most relevant translation. The result is then rearranged and adapted to approach grammatically based human language. [1]