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Found 3 papers, 1 papers with code
Cheat Codes to Quantify Missing Source Information in Neural Machine Translation
This paper describes a method to quantify the amount of information H(t|s) added by the target sentence t that is not present in the source s in a neural machine translation system.
The University of Edinburgh’s Bengali-Hindi Submissions to the WMT21 News Translation Task
We describe the University of Edinburgh’s Bengali\leftrightarrowHindi constrained systems submitted to the WMT21 News Translation task.
Improving Isochronous Machine Translation with Target Factors and Auxiliary Counters
To translate speech for automatic dubbing, machine translation needs to be isochronous, i. e. translated speech needs to be aligned with the source in terms of speech durations.
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