The announcement comes just a few months after the company announced that it would begin a project to develop a machine translation (MT) tool that can translate the majority of the world’s 7,000 or so languages.
The startup claims to have developed the “most accurate and inclusive speech-to-text engine available,” noting that it is able to accurately transcribe speech from a wide range of unique dialects and accents more accurately than other major software.
At the time of the acquisition, Zoom’s president of product and engineering said that MT would be the “key in enhancing our platform for Zoom customers across the globe.”
Inspired by databases that store genetic information, an interdisciplinary team of researchers has developed Lexibank — a database that aims to help shed light on the world’s linguistic diversity and language evolution.
Two researchers at the University of Texas Austin working on the DALL·E 2 program have come to a stunning conclusion: the artificial intelligence (AI) program is now inventing its own language.
Researchers at the Massachusetts Institute of Technology (MIT), the University of California at San Diego (UCSD), and IBM have developed a machine learning model that just might shake things up in the field of machine translation (MT): VALHALLA.
Software manufacturers are quickly becoming an invaluable partner for Language Service Providers (LSPs). And that's something Prof. Dr. André Köhler knows a thing or to about.
Earlier this month, Google gave the public a sneak peek at its latest piece of translation technology: a pair of augmented reality (AR) glasses that translates spoken language in real time.
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