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You are free: to share – to copy, distribute and transmit the work; to remix – to adapt the work; Under the following conditions: attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made.
Free, commercial (varies by plan) 3.0: No: 50+ Both rule-based and statistical models developed by IBM Research. Neural machine translation models available through the Watson Language Translator API for developers. [4] [5] Microsoft Translator: Cross-platform (web application) SaaS: No fee required: Final: No: 100+ Statistical and neural ...
Rosetta - free translation web service offered by LaunchPad. It is used mainly by the Ubuntu community translation tool. See it in action in Launchpad Translations; LibreOffice/Apache OpenOffice - most community localization is done through PO files produced by the toolkit; Virtaal - a localisation and translation tool; translatewiki.net (now ...
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.
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.
The first version of Déjà Vu was published in 1993 and used the Microsoft Word interface. In 1996, this approach was abandoned, and the software was given its own program interface. In 2004, the founder Emilio Benito died [ 2 ] and his son, Daniel Benito, Head of R&D and Déjà Vu co-creator, continued running the company.
You are free: to share – to copy, distribute and transmit the work; to remix – to adapt the work; Under the following conditions: attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made.
MateCat ("Machine Translation Enhanced Computer Assisted Translation") is a 3-year research project (Nov 2011 – Oct 2014) funded by the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement No. 287688. [1] It has received over €2,500,000 of European funds. [2]
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