Top US university Carnegie Mellon, known for its natural language processing and neural machine translation research, has launched a new Master’s program in Global Communication and Applied Translation, designed to train translators of the future. Continue reading
US researchers outline how technology could be used to support the work of simultaneous interpreters. They propose analyzing the linguist’s performance on the fly via real-time quality feedback loop and offer help only when the interpreter is struggling. Continue reading
Research into statistical machine translation is fast falling out of favor among the research community as the number of papers published on neural machine translation skyrockets in 2016. Continue reading
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