Effects of Language Relatedness for Cross-lingual Transfer Learning in Character-Based Language Models

LREC 2020 Mittul SinghPeter SmitSami VirpiojaMikko Kurimo

Character-based Neural Network Language Models (NNLM) have the advantage of smaller vocabulary and thus faster training times in comparison to NNLMs based on multi-character units. However, in low-resource scenarios, both the character and multi-character NNLMs suffer from data sparsity... (read more)

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