no code implementations • LREC 2022 • Diego Bear, Paul Cook
As there exist no large corpora of running text for Wolastoqey, in this paper, we leverage a bilingual dictionary to learn Wolastoqey word embeddings by encoding their corresponding English definitions into vector representations using pretrained English word and sequence representation models.
no code implementations • RANLP 2021 • Diego Bear, Paul Cook
In this paper, we consider cross-lingual definition generation.
no code implementations • SIGUL (LREC) 2022 • Diego Bear, Paul Cook
Finite-state approaches to morphological analysis have been shown to improve the performance of natural language processing systems for polysynthetic languages, in-which words are generally composed of many morphemes, for tasks such as language modelling (Schwartz et al., 2020).