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
Leading Chinese Internet company focuses on online education to tap the monetization potential of their machine translation capabilities. Among the investors is the venture capital arm of Lenovo’s holding company. Continue reading
Can machines become as good as humans in natural language? Are CAT tools getting far too complicated? Will users increasingly grow comfortable with sacrificing data privacy for personalized digital comfort? These issues are examined with bold quotes and predictions from the memoQ Trend Report 2018. Continue reading
Machine translation (MT) trumps human translation when it comes to real-time and dynamic content at large scale, and SDL’s new report highlights the five most common use cases driving enterprise-wide adoption of MT. Continue reading
After years of third parties mining its data, the UN publishes a vast corpus of its documents from the past 25 years for its six official languages. Experts talk to Slator about what the 2016 UN Parallel Corpus means for an industry starving for high quality text data. Continue reading
Exclusive look behind the scenes at China’s most advanced Natural Language Processing program. What drives the technology that processes 100m daily translation requests and learn why Baidu predicts a machine translation breakthrough within the next 5 years. Continue reading
Ontario’s Association of Translators and Interpreters seeks to prevent rollout of Canadian machine engine Portage to all government employees, saying launch is contrary to express advice of tool developers and will lead to errors and confusion. Continue reading
Google’s Jeff Dean tells MIT Technology Review that they have results “coming down the pipe” in integrating Deep Learning tech into Google Translate. Preliminary research by the tech giant shows improvement over current statistical machine translation models. Continue reading
As the world’s largest patent offices pool their vast troves of data under the IP5 initiative, the US Patent Office’s machine-translation-powered search portal gets critical acclaim from lawyers. Continue reading
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