AppTek Announces Expansion of Languages for Automatic Speech Recognition and Neural Machine Translation Available by the Modzy™ AI Platform and Marketplace

MCLEAN, Va.–()–AppTek, a frontrunner in Artificial Intelligence (AI), Machine Learning (ML), Automatic Speech Recognition (ASR), Neural Machine Translation (NMT) and Natural Language Understanding (NLU) applied sciences, at present introduced that it has deployed a complete of sixteen ASR languages and twenty-five bi-directional NMT-ready languages into Modzy, an enterprise AI platform and market. The deployment extends AppTek’s language transcription and translation capabilities accessible through Modzy past the preliminary 5 ASR languages and two MT languages contributed by AppTek when the platform launched in November 2019.

Modzy allows authorities companies and enterprises to securely entry trusted AI fashions, like these offered by AppTek, to then quickly deploy, handle, and monitor these AI fashions into manufacturing at scale. With so many languages now built-in, packaged and accessible, prospects can choose from the languages which can be most in-demand within the fashionable surroundings, and readily incorporate them into important authorities and/or business purposes. Automatically transcribed speech and translated textual content helps quick, efficient communication and enhanced human interplay, particularly relating to pressing points such because the COVID-19 pandemic, the pending presidential election, the present financial disruption and different challenges dealing with the U.S. and past.

Mike Veronis, CRO at AppTek, stated, “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.”

Modzy is an enterprise AI platform providing scalable, safe AI mannequin deployment. The Modzy platform leverages embedded safety, proprietary adversarial protection, explainability, and governance options to unravel a number of the final mile challenges with operationalizing machine studying fashions at enterprise scale.

“With the expansion of AppTek language capabilities in the Modzy marketplace, our customers can now access and deploy trusted models at scale for hard-to-find, mission-critical languages,” stated Josh Sullivan, head of Modzy and Executive Vice President at Booz Allen Hamilton.

The AppTek languages now accessible on the Modzy market embrace Arabic (ASR and MT), Belarusian (MT), Bosnian (MT), Bulgarian (MT), Chinese (ASR and MT), Croatian (MT), Dari (MT), Dutch (ASR), English (ASR and MT), French (ASR and MT), German (ASR and MT), Greek (MT), Hebrew (ASR), Hindi (ASR), Indonesian (ASR), Italian (ASR and MT), Japanese (ASR), Korean (ASR and MT), Montenegrin (MT), Pashto (MT), Persian (ASR and MT), Polish (MT), Portuguese (ASR and MT), Romanian (MT), Russian (ASR and MT), Serbian (MT), Slovak (MT), Spanish (ASR and MT), Turkish (ASR), Ukranian (MT) and Urdu (MT).

About AppTek

AppTek is a worldwide chief in synthetic intelligence (AI) and machine studying (ML) applied sciences for automated speech recognition (ASR), neural machine translation (NMT), and pure language understanding (NLU). The AppTek platform delivers industry-leading, real-time streaming and batch expertise options within the cloud or on-premise for organizations throughout a breadth of worldwide markets similar to media and leisure, name facilities, authorities, enterprise enterprise, and extra. Built by scientists and analysis engineers who’re acknowledged among the many greatest on the earth, AppTek’s options cowl a big selection of languages, dialects, and channels. For extra info, please go to


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