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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.
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Using three examples of poor translations that changed the course of history, Ewandro Magalhães illustrates the tough job of interpreters in the arena of...
BLEND, a Tel Aviv-based language service provider (LSP) specializing in localization and translation, recently unveiled its 2022 Hall of Fame initiative to highlight some...
