#back-translation

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Slator Life Sciences and Language AI Report

The Slator Life Sciences and Language AI Report provides an in-depth analysis of the pharmaceutical...

Basic Data Augmentation Beats LLMs in Boosting Low-Resource Language Performance

A new study finds basic data augmentation techniques outperform LLMs in enhancing text classification across...

Research Shows How to Replicate ‘Translator Style’ in Literary Machine Translation

Boğaziçi University researchers reveal the potential of customizing MT systems to replicate a translator's style,...

Working Around Machine Translation’s Need for Large-Scale Training Data

Unlike some fields in machine learning, machine translation still requires large sets of training data....

Facebook, Amazon, Twitter Research ‘Blind Spot’ in Modern Machine Translation

New paper by Facebook, Amazon, Twitter, and University of Melbourne examines vulnerability of systems using...

500-Million-Sentence Dataset Can Boost Machine Translation for Low-Resource Languages

500-million-sentence dataset from Jörg Tiedemann, Professor at University of Helsinki, can improve back translation by...

Yes, Now They Claim Machines ‘Outperform’ Human Translation in Adequacy

A group of AI researchers takes the perennial human vs. machine debate to the next...

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...

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