This research, highlighting the current situation of the global Machine Translation market, focuses on answering some of the important questions faced by stakeholders. By providing answers to all of these questions related to the key drivers and dominant companies, the report’s authors also focus on different factors, which would create new growth opportunities in the global Machine Translation market.
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View side-by-side comparison of AppTek ASR versus Human Captioners
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AppTek Chief Scientist, Dr. Jintao Jiang, paid a visit to the company’s Aachen office last week, to meet with fellow AppTek speech scientists to discuss the frontiers of machine learning and artificial intelligence in speech technology. AppTek’s talented team of scientists and engineers drive the next generation of innovation in AppTek’s speech technology and NLU roadmap. “AppTek’s most important asset is our people,” said Dr. Jiang. “Our expanding team of researchers and scientists are instrumental in our continued path of growth and innovation.”
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Check out this NPR article about how a New Orleans writer struggles with dictation apps not recognizing her Southern dialect. By customizing our DNN/HMT models and feeding them with contextual information about the speakers dialect, AppTek is able to build superior accuracy in translation and recognition versus one size fits all models.
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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.
