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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