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2. Google Translate - Wikipedia

   en.wikipedia.org/wiki/Google_Translate

   Google Translate is a web-based free-to-use translation service developed by Google in April 2006. [12] 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. [12]

3. Naver Papago - Wikipedia

   en.wikipedia.org/wiki/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.

4. Bhashini - Wikipedia

   en.wikipedia.org/wiki/Bhashini

   Bhashini is an Indian government project developed by Ministry of Electronics and Information Technology under its "National Language Translation Mission." It aims to help Indian citizens translate content in various Indian languages and enable effective communication among different-language speakers across India, and thus reduce the language barrier in India.

5. DeepL Translator - Wikipedia

   en.wikipedia.org/wiki/DeepL_Translator

   DeepL for Windows translating from Polish to French. The translator can be used for free with a limit of 1,500 characters per translation. Microsoft Word and PowerPoint files in Office Open XML file formats (.docx and .pptx) and PDF files up to 5MB in size can also be translated.

6. Google Translator Toolkit - Wikipedia

   en.wikipedia.org/wiki/Google_Translator_Toolkit

   Google Translator Toolkit by default used Google Translate to automatically pre-translate uploaded documents which translators could then improve. Google Inc released Google Translator Toolkit on June 8, 2009. [2] This product was expected to be named Google Translation Center, as had been announced in August 2008.

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.

8. Computer-assisted translation - Wikipedia

   en.wikipedia.org/wiki/Computer-assisted_translation

   Computer-assisted translation is a broad and imprecise term covering a range of tools. These can include: Translation memory tools (TM tools), consisting of a database of text segments in a source language and their translations in one or more target languages. [2]

9. Dictionary-based machine translation - Wikipedia

   en.wikipedia.org/wiki/Dictionary-based_machine...

   Translation Accuracy – the correctness of any machine translation, is dependent on the size of the translated text, thus short texts or words may suffer from a bigger degree of semantic errors, as well as lexical ambiguities, whereas a larger text may provide context, which helps at disambiguation.