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A Light Rule-based Approach to English Subject-Verb Agreement Errors on the Third Person Singular Fo
  • 所属机构名称：上海交通大学
  • 会议名称：Proceedings of the 29th Pacific Asia Conference on Language, Information and Computation (PACLIC-29)
  • 时间：2015.10.31
  • 成果类型：会议
  • 相关项目：基于语言特性分析的互联网伪信息的自动识别与评估研究
同会议论文项目
基于语言特性分析的互联网伪信息的自动识别与评估研究
期刊论文 6 会议论文 43
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