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  2. Comparison of machine translation applications - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_machine...

    Proprietary software: Commercial: 12.5: No: 20+ Hybrid, rule-based, statistical and neural machine translation [7] SYSTRAN: Cross-platform (web application) Proprietary software: $200 (desktop) – $15,000 and up (enterprise server) Version 7: No: 50+ Hybrid, rule-based, statistical machine translation and neural machine translation: Yandex ...

  3. Apertium - Wikipedia

    en.wikipedia.org/wiki/Apertium

    Apertium is a transfer-based machine translation system, which uses finite state transducers for all of its lexical transformations, and Constraint Grammar taggers as well as hidden Markov models or Perceptrons for part-of-speech tagging / word category disambiguation. [2]

  4. List of translation software - Wikipedia

    en.wikipedia.org/wiki/List_of_translation_software

    OmegaT is another translation tool that can translate PO files. It is written in Java so it is available for multiple platforms (including Linux and Windows). It can be downloaded from SourceForge. GNU Gettext (Linux/Unix) used for the GNU Translation Project. Gettext also provides msgmerge that makes merging translations easy.

  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. Google Neural Machine Translation - Wikipedia

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

    By 2020, the system had been replaced by another deep learning system based on a Transformer encoder and an RNN decoder. [10] GNMT improved on the quality of translation by applying an example-based (EBMT) machine translation method in which the system learns from millions of examples of language translation. [2]

  7. PROMT - Wikipedia

    en.wikipedia.org/wiki/PROMT

    In 2019, ProMT introduced its new neural technology [6] and flagship solution - PROMT Neural Translation Server. [7] Since then all MT systems developed by ProMT are based on neural machine translation. The software can run on Microsoft Windows, Linux, MacOS, iOS and Android and works in offline mode providing secure machine translation.

  8. SYSTRAN - Wikipedia

    en.wikipedia.org/wiki/SYSTRAN

    With its origin in the Georgetown machine translation effort, SYSTRAN was one of the few machine translation systems to survive the major decrease of funding after the ALPAC Report of the mid-1960s. The company was established in La Jolla in California to work on translation of Russian to English text for the United States Air Force during the ...

  9. Lingotek - Wikipedia

    en.wikipedia.org/wiki/Lingotek

    Lingotek was founded in 2006 by members of the LDS Church, and is the preferred tool for crowdsourced translation within the Church.Although Lingotek was initially marketed to government entities, translation companies, and freelance translators, the current marketing strategy targets larger corporations with translation needs.