How Large Language Models Can Improve Machine Translation Quality Evaluation
Google demonstrates the capability of LLMs to create synthetic datasets that can be used to train semantic similarity metrics for evaluating MT quality.
quality
Reader Polls: Should Regulators Require Flagging of Machine Translated Content?
Stunning majority of poll respondents think regulators should require flagging of machine translations. Plus your take on fully-automated translation quality reviews, etc.
Pro Guide: ISO and Quality Management for Language Service Providers
A 36-page Pro Guide on ISO and Quality Management: How and why LSPs get ISO certified, top 5 ISO certifications for LSPs, and how to run a QM function to bring tangible benefits to your business.
Deadline 2020: What LSPs Need to Know About the EU’s New Medical Device Regulation
Europe’s new medical device regulation requires that labeling, packaging, and other content be translated into the official language of each EU country where the device will be sold.
A Quick Primer on Edit-Distance, a Key Metric in Post-Editing Machine Translation
As the language industry transitions to an operating model where the first draft is mostly generated by machines, many are looking for ways to quantify linguists' value-add. Edit-distance can help.
Researchers Propose New Way to Detect Machine Translation — Maybe Google Could Use It
Google has admitted machine translated content is a challenge to ranking algorithms. Researchers at the University of Tokyo may have found a solution: back-translation.
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