92 citations · 247 across the 33 of their papers we have counts for
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Diversify Your Datasets: Analyzing Generalization via Controlled Variance in Adversarial Datasets
Ohad Rozen, Vered Shwartz, Roee Aharoni +1
Phenomenon-specific "adversarial" datasets have been recently designed to perform targeted stress-tests for particular inference types. Recent work (Liu et al., 2019a) proposed tha…
The Missing Ingredient in Zero-Shot Neural Machine Translation
Naveen Arivazhagan, Ankur Bapna, Orhan Firat +3
Multilingual Neural Machine Translation (NMT) models are capable of translating between multiple source and target languages. Despite various approaches to train such models, they…
Filling Gender & Number Gaps in Neural Machine Translation with Black-box Context Injection
Amit Moryossef, Roee Aharoni, Yoav Goldberg
When translating from a language that does not morphologically mark information such as gender and number into a language that does, translation systems must "guess" this missing i…
Massively Multilingual Neural Machine Translation
Roee Aharoni, Melvin Johnson, Orhan Firat
Multilingual neural machine translation (NMT) enables training a single model that supports translation from multiple source languages into multiple target languages. In this paper…