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McLean, VA, USA, April, 2019 -- AppTek, a provider in Artificial Intelligence (AI), Machine Learning (ML), Automatic Speech Recognition (ASR) and Machine Translation (MT), announced significant enhancements to its language technologies platform for supporting the needs of the media and entertainment industry.
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AppTek has developed a model that overcomes subtitling segmentation challenges that until now have been an impediment to the widespread adoption of automation for broadcasters’ and content owners’ increasing subtitling requirements. The AppTek model unifies neural network boundary predictions and handcrafted rules, so that subtitle segmentation performance, typically based solely on speaker pauses, can now be based on semantic units. AppTek maintains these units largely intact in the same subtitle unit, thus reducing the post-editing effort required to bring AppTek’s ASR and MT outputs to the publishable quality level that media and entertainment clients require.
AppTek’s Lead Science Architect for MT Evgeny Matusov stated: "We are very excited to be pioneering this new feature in our MT offering, and to be showcasing it at the NAB show in April. Further updates are coming in the near future. We are just beginning to tackle this issue and are very pleased with initial results."
Posted by Veronica Silva Cusi, news correspondent
As a pioneer in automatic speech recognition, machine learning, and artificial intelligence, AppTek partners with its customers to provide solutions focused on closed captioning and subtitling, call center content discovery and mobile intelligent voice agents. In today's hyper-connected and data-rich marketplace, enterprises are seeking to drive revenue, save costs, and increase productivity.
Published: Monday, April 8, 2019
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