The Fedora Machine Learning SIG has a proposal on tutorials on how to
deploy machine learning applications. One area of application of machine
learning is translation. Following are some open source Machine
translation engines:
http://opennmt.net/,
https://github.com/facebookresearch/UnsupervisedMT,
https://github.com/moses-smt/mosesdecoder,
http://thumt.thunlp.org/, https://marian-nmt.github.io/
Are there preferences on which of these is of most interest or if there
are others that should be considered? It is likely the case that the
best settings and translation engines will be language dependent.
Interfacing these to Weblate will help improve the translation speed and
reduce redundant work.
An introduction to machine learning powered translation can be found here:
https://www.paddlepaddle.org.cn/documentation/docs/en/1.4/beginners_guide/basics/machine_translation/index_en.html
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