Applications Technology (AppTek) is a U.S. company headquartered in McLean, Virginia that specializes in artificial intelligence and machine learning for human language technologies. The company provides both managed and professional services for natural language processing (NLP) technologies including automatic speech recognition (ASR), neural machine translation (MT), natural-language understanding (NLU) and neural speech synthesis. AppTek's automatic speech recognition covers over 45 languages and dialects. The neural MT engine covers over 1000 language pairs between languages.

AppTek's Head of Science, Prof. Dr. -Ing Hermann Ney,[1] was awarded the IEEE James L. Flanagan Speech and Audio Processing Award in 2019 and the ISCA Medal for Scientific Achievement in 2021 for his work in natural language processing.[2]

History

AppTek was acquired in 1998 by Lernout & Hauspie (at the time a NASDAQ publicly traded company), AppTek organized a management buy-out and went private again in 2001. In 2014, the company sold its hybrid machine translation technology to eBay[3] and has since rebuilt the platform to modern neural-based approaches for machine translation. In 2020, SOSi acquired non-controlling interest in AppTek and became an exclusive reseller of AppTek products for U.S. federal, state, and local government entities.[4]

See also

References

  1. "Hermann Ney - Engineering and Technology History Wiki". ethw.org. Retrieved 2022-02-07.
  2. AppTek (February 12, 2021). "AppTek 's Prof. Dr. -Ing. Hermann Ney Awarded the 2021 ISCA Medal for Scientific Achievement". PR Newswire (Press release). Retrieved 2022-02-07.
  3. "eBay Acquires AppTek's Machine Translation Technology". www.ebayinc.com. 2014-06-13. Retrieved 2022-02-09.
  4. "SOSi Invests in AppTek".
  5. "Translator". Translator. Retrieved 2023-06-29.
  6. "vidby for translation, dubbing and creation of subtitles service". vidby.com. Retrieved 2023-06-29.
  7. "DeepL Translate: The world's most accurate translator". www.deepl.com. Retrieved 2023-06-29.
This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.