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pro vyhledávání: '"Anderson, Timothy"'
The challenge of visual grounding and masking in multimodal machine translation (MMT) systems has encouraged varying approaches to the detection and selection of visually-grounded text tokens for masking. We introduce new methods for detection of vis
Externí odkaz:
http://arxiv.org/abs/2403.03075
While most current work in multimodal machine translation (MMT) uses the Multi30k dataset for training and evaluation, we find that the resulting models overfit to the Multi30k dataset to an extreme degree. Consequently, these models perform very bad
Externí odkaz:
http://arxiv.org/abs/2403.03045
A good evaluation framework should evaluate multimodal machine translation (MMT) models by measuring 1) their use of visual information to aid in the translation task and 2) their ability to translate complex sentences such as done for text-only mach
Externí odkaz:
http://arxiv.org/abs/2403.03014
Publikováno v:
Interpersonal Psychotherapy : A Global Reach, 2024.
Externí odkaz:
https://doi.org/10.1093/oso/9780197652084.003.0055
Publikováno v:
In Renewable Energy Focus June 2024 49
Autor:
Amat, Maelys J., Anderson, Timothy S., Shafiq, Umber, Sternberg, Scot B., Salant, Talya, Fernandez, Leonor, Schiff, Gordon D., Aronson, Mark D., Benneyan, James C., Singer, Sara J., Graham, Kelly L. *, Phillips, Russell S. *
Publikováno v:
In The Joint Commission Journal on Quality and Patient Safety March 2024 50(3):177-184
Akademický článek
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