1 citations · 1 across the 2 of their papers we have counts for
3 papers · 1 filter
Training Data Size Sensitivity in Unsupervised Rhyme Recognition
Petr Plecháč, Artjoms Šeļa, Silvie Cinková +7
Rhyme is deceptively intuitive: what is or is not a rhyme is constructed historically, scholars struggle with rhyme classification, and people disagree on whether two words are rhy…
Co-creation for Sign Language Processing and Machine Translation
Lisa Lepp, Dimitar Shterionov, Mirella De Sisto +1
Sign language machine translation (SLMT) -- the task of automatically translating between sign and spoken languages or between sign languages -- is a complex task within the field…
Tailoring Domain Adaptation for Machine Translation Quality Estimation
Javad Pourmostafa Roshan Sharami, Dimitar Shterionov, Frédéric Blain +4
While quality estimation (QE) can play an important role in the translation process, its effectiveness relies on the availability and quality of training data. For QE in particular…