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In the world of translation, NMT (Neural Machine Translation) is the buzzword. But with buzz comes myths. John Paul (JP) Barraza tackles the common misconceptions surrounding this transformative technology. From its swift evolution over the past eight years, to its ability to specialize for niche markets, Barraza sheds light on what's true, what's not, and the potential it holds for both large and small Language Service Providers (LSPs). Dive into the intricacies of NMT in this comprehensive exploration, exclusively in this month's MultiLingual.
Amidst the shadows of Canada's troubling past with residential schools, Pope Francis embarked on a "penitential pilgrimage" in 2022, offering apologies on behalf of...
By Marina Ilari and Sham AlBdour Adapting game elements like character design, storylines, and themes to fit cultural norms can significantly increase engagement. The...
With the democratization of AI, an engineer can build an MT model in one day. However, beating Google or DeepL in quality, performance, and...
