Search Results for author: Diego Bear

Found 3 papers, 0 papers with code

Leveraging a Bilingual Dictionary to Learn Wolastoqey Word Representations

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.

Information Retrieval Learning Word Embeddings +4

Evaluating Unsupervised Approaches to Morphological Segmentation for Wolastoqey

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).

Language Modelling Morphological Analysis

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