Papers with multiple metrics
Open Vocabulary Learning for Neural Chinese Pinyin IME (P19-1)
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| Challenge: | Pinyin-to-character conversion is the core component of pinyin based Chinese input method engine (IME). |
| Approach: | They propose a neural P2C conversion model augmented by an online updated vocabulary to support open vocabulary learning during IME working. |
| Outcome: | The proposed model outperforms commercial IMEs and state-of-the-art models on standard corpus and true inputting history dataset in terms of multiple metrics and the online updated vocabulary helps it follow user inputting behavior. |