AppTek Announces Integration Partnership with OOONA to Offer Advanced Language Technologies that Extends OOONA’s Translation, Subtitling and Captioning Platform

AppTek Announces Integration Partnership with OOONA to Offer Advanced Language Technologies that Extends OOONA’s Translation, Subtitling and Captioning Platform

New relationship combines globally adopted cloud-based system for managing media translation, subtitling and captioning workflows with best in class Artificial Intelligence, Automatic SpeechRecognition and Neural Machine Translation platform

McLean, VA, March 11,2020 – 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 a system integration partnership with OOONA, a leading provider of professional management and production tools for the content localization industry. The partnership allows OOONA to offer AppTek’s ASR and NMT technologies within its cloud-based Translation Manager platform, which facilitates translation, subtitling and captioning workflows through a series of bespoke tools.

“OOONA’s trusted platform is currently utilized by thousands of users in over 50 countries. By combining AppTek’s automatic speech recognition and neural machine translation technologies with OOONA’s easy-to-use software, users will be able to expand their localization capabilities globally while increasing the speed of production,” stated Dr. Volker Steinbess, Managing Director of AppTek GmbH.

The integration will enable conversion of speech-to-text and text-to-text translations within OOONA’s subtitling and captioning production tools, giving users more flexibility by supporting numerous target languages. The AppTek tools will further enhance the subtitling and captioning efficiencies that organizations receive from using OOONA’s powerful localization platform.

“Our intuitive systems for localization will be made even more powerful by implementing AppTek’s speech recognition, machine translation and Intelligent Line Segmentation capabilities,” said Wayne Garb,OOONA’s CEO and Co-founder. “We continuously strive to offer automation solutions to our clients through our platform and adding AppTek’s customized tools for the media and entertainment sector was an obvious choice to make.”

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About OOONA

OOONA Ltd was founded in 2012with the aim of developing professional management and production tools to service the localization industry. The company’s flagship product is OOONAManager, a cloud-based system for managing translation, subtitling and captioning workflows in a user-centric approach, with full visibility over the localization workflow and integration with financial and production tools.

To learn more visit https://ooona.net.

 

About AppTek

AppTek provides automatic speech recognition, machine translation and natural language understanding for organizations across a breadth of worldwide markets such as media and entertainment, call centers, government, enterprise business and more. Using highly advanced artificial intelligence and machine learning technology, AppTek delivers industry-leading, real-time streaming and batch technology solutions in the cloud or on-premise. Built by scientists and research engineers who are recognized among the best in the world, they cover a wide array of languages, dialects, and channels.

 

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AppTek provides an artificial intelligence and machine learning-based automatic speech recognition, machine translation and natural language understanding platform for organizations in a variety of markets, such as media and entertainment, call centers, government, enterprise business and others across the globe. Available via the cloud or on-premise, AppTek delivers the highest quality real-time streaming and batch speech technology solutions in the industry.   Featuring scientists and research engineers who are recognized amongst the best and most experienced in the world, the company’s solutions cover a wide array of languages, dialects, and channels.

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