Amazon releases MT-GenEval, a realistic dataset for evaluating gender bias in machine translation, to better understand how MT models perform on gender translation accuracy.
Google publishes translation dataset of biographies from Wikipedia in hopes of reducing gender bias in Google Translate output.
New research suggests biases of QE datasets lead to guesstimates on machine translation quality. Researchers propose modified dataset, debut it at WMT 2020.
Mixed reactions from linguists and industry experts as search giant shelves its in-house translation productivity tool Translator Toolkit, which failed to gain real traction since launching in 2009.
Microsoft translates all of Wikipedia’s English pages in under a tenth of a second. Baidu rolls out open source, deep learning yardstick. Nvidia wants to power AI; and Amazon and Samsung update translation-related patents.
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