Microsoft Re-Interprets Neural Machine Translation Models as Language Models
Microsoft researchers bring traditional neural machine translation models closer to the capabilities of large language...
#NMT
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Anthropic’s Claude 3 Opus Is a Good Low-Resource Translator
Researchers from Williams College demonstrate the machine translation capabilities of Claude 3 Opus revealing its...
Humans and AI Navigate Translation Challenges Similarly, Research Finds
Researchers from the University of Melbourne demonstrate that neural machine translation can effectively predict translation...
Phrase Announce New Machine Translation Engine: Phrase NextMT
Phrase has announced Phrase NextMT, its internally-developed neural machine translation engine, as a core new...
Here Are 5 NLP Terms That Now Occur Naturally in Localization
NLP technologies drive the evolution of localization, turning jargon into common terms used to manage...
Inside DeepL: The World’s Fastest-Growing, Most Secretive Machine Translation Company
How DeepL outmaneuvered big tech, won a following, and is now rapidly moving into machine...
Why Enterprises Fail to Integrate AI and What to Do About It
At SlatorCon Remote December 2020, Intento Co-founder and CEO Konstantin Savenkov discusses alternative pricing models...
Here Are the Top 10 Most Influential Research Papers on Neural Machine Translation
The most-cited neural machine translation research papers show how NMT came to dominate the field...
Dodging AI Biases in Machine Translation
Machine translation company Intento uses metadata and MT-agnostic natural language processing to dodge AI biases...
MIT Tackles the Ultimate Low-Resource Machine Translation Challenge
MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) derives algorithm to handle lack of training...
Prospector, the Source English Terminology Extraction Tool, Is Updated
Logrus Global has significantly updated Prospector the terminology extraction tool confirmed as best-in-class by an...