AppTek, a leader in Artificial Intelligence (AI), Machine Learning (ML), Automatic Speech Recognition (ASR), Neural Machine Translation (NMT) and Natural Language Understanding (NLU) technologies, today announced that it has deployed a total of sixteen ASR languages and twenty-five bi-directional NMT-ready languages into Modzy, an enterprise AI platform and marketplace. The deployment extends AppTek’s language transcription and translation capabilities available via Modzy beyond the initial five ASR languages and two MT languages contributed by AppTek when the platform launched in November 2019.
@AppTek_McLean announced that it has deployed a total of sixteen #ASR languages and twenty-five bi-directional NMT-ready languages into Modzy, an enterprise #AI platform and marketplace.
Modzy enables government agencies and enterprises to securely access trusted AI models, like those provided by AppTek, to then rapidly deploy, manage, and monitor those AI models into production at scale. With so many languages now integrated, packaged and available, customers can select from the languages that are most in-demand in the modern environment, and readily incorporate them into critical government and/or commercial applications. Automatically transcribed speech and translated text supports fast, effective communication and enhanced human interaction, especially regarding urgent issues such as the COVID-19 pandemic, the pending presidential election, the current economic disruption and other challenges facing the U.S. and beyond.
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Mike Veronis, CRO at AppTek, said, “AppTek’s world-renowned scientific team and highly advanced artificial intelligence technologies equip us to accelerate the delivery of new language transcriptions and translations across a wide breadth of languages. Consequently, we have extended our language capabilities available via Modzy significantly in just eight months since the platform originally launched. By empowering organizations to streamline implementation of ASR and MT, the AppTek-Modzy solution is enabling speech-centric missions to move forward at the pace required in today’s volatile environment.”
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