Papers by Yonghe Wang

1 papers
A LSTM Approach with Sub-Word Embeddings for Mongolian Phrase Break Prediction (C18-1)

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Challenge: Existing word embedding methods for Mongolian PB prediction are expensive and time-consuming.
Approach: They propose to use Mongolian word embedding to build a robust Mongolian PB prediction model . they encode sub-word units and feed it to LSTM to decode the best corresponding PB label .
Outcome: The proposed model outperforms traditional model using manual features and achieves 7.49% gain.

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