no code implementations • LREC (MWE) 2022 • Albina Khusainova, Vitaly Romanov, Adil Khan
Modern encoder-decoder based neural machine translation (NMT) models are normally trained on parallel sentences.
no code implementations • WS 2019 • Vitaly Romanov, Albina Khusainova
This paper evaluates morphology-based embeddings for English and Russian languages.
no code implementations • 11 Mar 2021 • Vitaly Romanov, Albina Khusainova
A number of morphology-based word embedding models were introduced in recent years.
no code implementations • EACL (VarDial) 2021 • Albina Khusainova, Adil Khan, Adín Ramírez Rivera, Vitaly Romanov
The choice of parameter sharing strategy in multilingual machine translation models determines how optimally parameter space is used and hence, directly influences ultimate translation quality.