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  • 标题:Exact Decoding of Syntactic Translation Models through Lagrangian Relaxation
  • 本地全文:下载
  • 作者:Alexander M. Rush ; Michael Collins
  • 期刊名称:Conference on European Chapter of the Association for Computational Linguistics (EACL)
  • 出版年度:2011
  • 卷号:2011
  • 出版社:ACL Anthology
  • 摘要:We describe an exact decoding algorithm for syntax-based statistical translation. The approach uses Lagrangian relaxation to decompose the decoding problem into tractable subproblems, thereby avoiding exhaustive dynamic programming. The method recovers exact solutions, with certificates of optimality, on over 97% of test examples; it has comparable speed to state-of-the-art decoders.
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