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  2. Communication access real-time translation - Wikipedia

    en.wikipedia.org/wiki/Communication_access_real...

    Communication access realtime translation (CART), also called open captioning or realtime stenography or simply realtime captioning, is the general name of the system that stenographers and others use to convert speech to text.

  3. 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]

  4. MateCat - Wikipedia

    en.wikipedia.org/wiki/MateCat

    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]

  5. OpenLogos - Wikipedia

    en.wikipedia.org/wiki/OpenLogos

    Logos Corporation was founded by Bernard (Bud) Scott in 1970, who worked on its Logos Machine Translation System until the company's dissolution in 2000. The project began as an English-Vietnamese translation system, which became operational in 1972 (during the American- Vietnam War ), and later was developed as a multi-target translation ...

  6. Déjà Vu (software) - Wikipedia

    en.wikipedia.org/wiki/Déjà_Vu_(software)

    Déjà Vu is a computer-assisted translation tool with its own program interface. It facilitates database-supported translation.. Development and marketing of this translation environment tool (TEnT) is handled by Atril, which has its international headquarters in Paris, France.

  7. Machine translation - Wikipedia

    en.wikipedia.org/wiki/Machine_translation

    The advancements in convolutional neural networks in recent years and in low resource machine translation (when only a very limited amount of data and examples are available for training) enabled machine translation for ancient languages, such as Akkadian and its dialects Babylonian and Assyrian.