| 摘要 |
An approach of constructing Chinese language couplets, in particular, a second scroll sentence given a first scroll sentence is presented. The approach includes constructing a language model, a word translation-like model, and word association information such as mutual information values that can be used later in generating second scroll sentences of Chinese couplets. A Hidden Markov Model (HMM) is used to generate candidates. A Maximum Entropy (ME) model can then be used to re-rank the candidates to generate one or more reasonable second scroll sentences give a first scroll sentence.
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