Measuring Semantic Abstraction of Multilingual NMT with Paraphrase Recognition and Generation Tasks

WS 2019 Jörg TiedemannYves Scherrer

In this paper, we investigate whether multilingual neural translation models learn stronger semantic abstractions of sentences than bilingual ones. We test this hypotheses by measuring the perplexity of such models when applied to paraphrases of the source language... (read more)

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