1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.CL2022★ 1 cited
Modeling Target-Side Morphology in Neural Machine Translation: A Comparison of Strategies
Marion Weller-Di Marco, Matthias Huck, Alexander Fraser
Morphologically rich languages pose difficulties to machine translation. Machine translation engines that rely on statistical learning from parallel training data, such as state-of…
cs.CL2017
Modeling Target-Side Inflection in Neural Machine Translation
Aleš Tamchyna, Marion Weller-Di Marco, Alexander Fraser
NMT systems have problems with large vocabulary sizes. Byte-pair encoding (BPE) is a popular approach to solving this problem, but while BPE allows the system to generate any targe…