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Improving How Machine Translations Handle Grammatical Gender Ambiguity (machinelearning.apple.com)
2 points by gok 6 months ago | hide | past | favorite | 1 comment



Nifty! The preprint behind the article: https://arxiv.org/abs/2407.20438

Skimming the article I wonder how extensible the approach would be to other context-sensitive translations - the silly example that came to mind is whether to use tu or vous and the corresponding verb conjugations in French - as the algorithm described isn't limited to binary categories




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