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Found 5 papers, 1 papers with code
A User Study of the Incremental Learning in NMT
Adaptive neural machine translation systems, able to incrementally update the underlying models under an online learning regime, have been proven to be useful to improve the efficiency of this workflow.
Demonstration of a Neural Machine Translation System with Online Learning for Translators
We introduce a demonstration of our system, which implements online learning for neural machine translation in a production environment.
Incremental Adaptation of NMT for Professional Post-editors: A User Study
A common use of machine translation in the industry is providing initial translation hypotheses, which are later supervised and post-edited by a human expert.
How Much Does Tokenization Affect Neural Machine Translation?
Separating punctuation and splitting tokens into words or subwords has proven to be helpful to reduce vocabulary and increase the number of examples of each word, improving the translation quality.
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