4 citations · 7 across the 2 of their papers we have counts for
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cs.CL2022★ 4 cited
Democratizing Neural Machine Translation with OPUS-MT
Jörg Tiedemann, Mikko Aulamo, Daria Bakshandaeva +7
This paper presents the OPUS ecosystem with a focus on the development of open machine translation models and tools, and their integration into end-user applications, development p…
cs.CL2020★ 3 cited
Morfessor EM+Prune: Improved Subword Segmentation with Expectation Maximization and Pruning
Stig-Arne Grönroos, Sami Virpioja, Mikko Kurimo
Data-driven segmentation of words into subword units has been used in various natural language processing applications such as automatic speech recognition and statistical machine…