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
Empowering Human Translators via Interpretable Interactive Neural Machine Translation
Advanced XAI Techniques and Inseq: An Interpretability Toolkit for Sequence Generation Models
That Looks Hard: Characterizing Linguistic Complexity in Humans and Language Models
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