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
Speech synthesis is the artificial production of human speech. A computer system used for this purpose is called a speech synthesizer, and can be implemented in software or hardware products. A text-to-speech (TTS) system converts normal languag ...
. 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, was awarded the
IEEE James L. Flanagan Speech and Audio Processing Award
The IEEE James L. Flanagan Speech and Audio Processing Award is a Institute of Electrical and Electronics Engineers#Technical field awards, Technical Field Award presented by the IEEE for an outstanding contribution to the advancement of speech a ...
in 2019 and the
ISCA Medal for Scientific Achievement in 2021 for his work in natural language processing.
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 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.
See also
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Google Translate
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Bing Translator
Microsoft Translator is a multilingual machine translation cloud service provided by Microsoft. Microsoft Translator is a part of Microsoft Cognitive Services and integrated across multiple consumer, developer, and enterprise products; including B ...
References
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Machine translation
Speech recognition