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What do Neural Machine Translation Models Learn about Morphology?

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Abstract

Neural machine translation (MT) models obtain state-of-the-art performance while maintaining a simple, end-to-end architecture. However, little is known about what these models learn about source and target languages during the training process.

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Publication details

DOI
10.18653/v1/p17-1080
OpenAlex
W2605717780
Document type
conference-paper
Language
EN
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