Towards User-centric Interpretability of Machine Translation Models | Gabriele Sarti
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Towards User-centric Interpretability of Machine Translation Models
Gabriele Sarti
Natural Language Processing
,
Academic
Slides
Date
Oct 20, 2022
Event
CLCG Linguistics Lunch
Location
Harmonie Building, University of Groningen
Natural Language Processing
Neural Machine Translation
Interpretability
Sequence-to-sequence
Behavioral Data
Linguistic Complexity
Related
Towards User-centric Interpretability of NLP Models
Introducing Inseq: An Interpretability Toolkit for Sequence Generation Models
Quantifying the Plausibility of Context Reliance in Neural Machine Translation
Quantifying the Plausibility of Context Reliance in Neural Machine Translation
Empowering Human Translators via Interpretable Interactive Neural Machine Translation
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