Comparison_of_machine_translation_applications

Comparison of machine translation applications

Comparison of machine translation applications

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Machine translation is an algorithm which attempts to translate text or speech from one natural language to another.

General information

Basic general information for popular machine translation applications.[1]

More information Name, Platform ...

Languages features comparison

The following table compares the number of languages which the following machine translation programs can translate between. (Moses and Moses for Mere Mortals allow you to train translation models for any language pair, though collections of translated texts (parallel corpus) need to be provided by the user. The Moses site provides links to training corpora.)

This is not an all-encompassing list. Some applications have many more language pairs than those listed below. This is a general comparison of key languages only. A full and accurate list of language pairs supported by each product should be found on each of the product's websites.

More information Language, Language code ...
More information Language, Apertium ...

See also


References

  1. "Translations Made Simple: The Usefulness of Translation Apps". April 8, 2020. Archived from the original on April 29, 2020. Retrieved April 29, 2020.
  2. Remove FBI & Babylon Zombie Virus PCPitstop.com, author Steve Hogan, October 11, 2012
  3. "Watson Language Translator". www.ibm.com. 2016-11-28. Archived from the original on 2017-11-08. Retrieved 2017-11-08.
  4. "Language support | Cloud Translation". Google Cloud. Retrieved 18 September 2021.
  5. "Language support - Translator - Azure AI services". learn.microsoft.com. 7 November 2023. Retrieved 7 November 2023.
  6. "Supported languages". yandex.com. Retrieved 18 September 2021.
  7. "What Is Amazon Translate? - Amazon Translate". docs.aws.amazon.com. Retrieved 18 September 2021.
  8. "IBM Cloud Docs". cloud.ibm.com. Retrieved 18 September 2021.
  9. "Apertium". wiki.apertium.org. Retrieved 21 December 2023.

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