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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.
Despite the prevalence of automatic speech recognition software, it’s obvious that these tools could use some improvement, especially when speaking with a non-standard accent...
By Giovanna Patruno The traditional service-oriented model of language service providers (LSPs) is becoming outdated as clients increasingly expect sophisticated technological ecosystems, including machine...
In the ever-evolving world of the localization industry, Paz Valente underscores the pivotal role of adaptability and innovation. Tackling misconceptions, she highlights the importance...
