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.
Interview by Deema Jaradat In this interview, Michael Mulé of the U.S. Department of Justice discusses the historical framework of language access in the...
In this episode, Anne Marie Coliander, co-founder and conference organizer of the Nordic Translation and Interpretation Forum (NTIF). Since 2011, NTIF has provided a...
A recent study published in the journal IEEE Access is shining light on ways in which artificial intelligence (AI) tools can be used to...