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Forest-to-String Statistical Translation Rules
  • 所属机构名称：中国科学院计算技术研究所
  • 会议名称：ACL 2007
  • 成果类型：会议
  • 相关项目：基于短语结构转换模板的统计机器翻译方法研究
作者： LIN Shouxun|HUANG Yun|LIU Yang|LIU Qun|
同会议论文项目
基于短语结构转换模板的统计机器翻译方法研究
期刊论文 16 会议论文 17 著作 1
同项目会议论文
基于树到串对齐模板翻译模型的n-best解码算法
A Dependency Treelet String Correspondence Model for Statistical Machine Translation
统计机器翻译研究的新进展
Improving Statistical Machine Translation Performance by Training Data Selection and Optimization
基于句法的统计机器翻译研究
Partial Matching Strategy for Phrase-based Statistical Machine Translation
Improving Statistical Machine Translation using Lexicalized Rule Selection
Word Lattice Reranking for Chinese Word Segmentation and Part-of-Speech Tagging
Maximum Entropy based Rule Selection Model for Syntax-based Statistical Machine Translation
The Maximum Entropy based Rule Selection Model for Statistical Machine Translation
Tree-to-String Alignment Template for Statistical Machine Translation
Maximum Entropy Based Phrase Reordering Model for Statistical Machine Translation
统计机器翻译中短语切分的新方法
Forest-based Translation Rule Extraction
Forest-Based Translation
A Cascaded Linear Model for Joint Chinese Word Segmentation and Part-of-Speech Tagging