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Found 2 papers, 1 papers with code
Approaching an unknown communication system by latent space exploration and causal inference
This paper suggests that an interpretation of the outputs of deep neural networks with causal inference methodology can be a viable strategy for approaching data about which little is known and presents another case of how deep learning can limit the hypothesis space.
A Bayesian approach to translators' reliability assessment
Translation Quality Assessment (TQA) is a process conducted by human translators and is widely used, both for estimating the performance of (increasingly used) Machine Translation, and for finding an agreement between translation providers and their customers.
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