Chinese couplet generation with neural network structures

Rui Yan, Cheng Te Li, Xiaohua Hu, Ming Zhang

研究成果: Conference contribution

14 引文 斯高帕斯(Scopus)

摘要

Part of the unique cultural heritage of China is the Chinese couplet. Given a sentence (namely an antecedent clause), people reply with another sentence (namely a subsequent clause) equal in length. Moreover, a special phenomenon is that corresponding characters from the same position in the two clauses match each other by following certain constraints on semantic and/or syntactic relatedness. Automatic couplet generation by computer is viewed as a difficult problem and has not been fully explored. In this paper, we formulate the task as a natural language generation problem using neural network structures. Given the issued antecedent clause, the system generates the subsequent clause via sequential language modeling. To satisfy special characteristics of couplets, we incorporate the attention mechanism and polishing schema into the encoding-decoding process. The couplet is generated incrementally and iteratively. A comprehensive evaluation, using perplexity and BLEU measurements as well as human judgments, has demonstrated the effectiveness of our proposed approach.

原文English
主出版物標題54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Long Papers
發行者Association for Computational Linguistics (ACL)
頁面2347-2357
頁數11
ISBN(電子)9781510827585
DOIs
出版狀態Published - 2016
事件54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Berlin, Germany
持續時間: 2016 八月 72016 八月 12

出版系列

名字54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Long Papers
4

Other

Other54th Annual Meeting of the Association for Computational Linguistics, ACL 2016
國家/地區Germany
城市Berlin
期間16-08-0716-08-12

All Science Journal Classification (ASJC) codes

  • 語言與語言學
  • 語言和語言學

指紋

深入研究「Chinese couplet generation with neural network structures」主題。共同形成了獨特的指紋。

引用此