Syllable-aware Neural Language Models: A Failure to Beat Character-aware Ones

07/20/2017

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by   Zhenisbek Assylbekov, et al.

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Syllabification does not seem to improve word-level RNN language modeling quality when compared to character-based segmentation. However, our best syllable-aware language model, achieving performance comparable to the competitive character-aware model, has 18 1.2-2.2 times faster.