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1
Investigating alignment interpretability for low-resource NMT [<Journal>]
Boito, Marcely Zanon [Verfasser]; Villavicencio, Aline [Verfasser]; Besacier, Laurent [Verfasser]
DNB Subject Category Language
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2
Investigating alignment interpretability for low-resource NMT
In: ISSN: 0922-6567 ; EISSN: 1573-0573 ; Machine Translation ; https://hal.archives-ouvertes.fr/hal-03139744 ; Machine Translation, Springer Verlag, 2021, &#x27E8;10.1007/s10590-020-09254-w&#x27E9; (2021)
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3
AStitchInLanguageModels: Dataset and Methods for the Exploration of Idiomaticity in Pre-Trained Language Models ...
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4
Unsupervised Word Segmentation from Discrete Speech Units in Low-Resource Settings ...
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5
Assessing the Representations of Idiomaticity in Vector Models with a Noun Compound Dataset Labeled at Type and Token Levels ...
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6
The Role of negative information when learning dense word vectors ; O papel da informação negativa na aprendizagem de vetores palavra densos
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