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With the democratization of AI, an engineer can build an MT model in one day. However, beating Google or DeepL in quality, performance, and market presence is another story. So, who are the teams that are able to compete, stand tall, and beat the odds in the market of MT? Here are some of our top picks.
Translated, a Rome-based language service provider (LSP), has released the 2022 Imminent Research Report, providing information on future trends in the field of localization.
Inspired by databases that store genetic information, an interdisciplinary team of researchers has developed Lexibank — a database that aims to help shed light...
By Dominique Bohbot Quebec is often regarded as the birthplace of artificial intelligence (AI). This article explores AI’s effects on the language industry in...
