摘要
本文以小句为观测视点,从主谓句法成分角度对分句关联进行深层知识挖掘,提取出直接聚层关联的分句间存在的10组典型特征,它们是分句聚层关联的影响因子。文章基于主谓语知识挖掘的分句关联度思想,为复句句法分析提出了一种新的思路,同时也为面向机器理解的复句自动句法分析提供借鉴。
In this paper,the author thinks that the knowledge of subject and predicate constituency helps with the mining of clausal semantics.Ten groups of typical characteristics,which exist in related clause and affect clause's semantic relation,are extracted.The proposed clausal semantics informed by the knowledge mining of subject and predicate constituency is a new means to complex parsing and sheds light on automatic parsing.
出处
《语言文字应用》
CSSCI
北大核心
2011年第4期132-142,共11页
Applied Linguistics
基金
国家社会科学基金项目(批准号:10CYY034)
信阳师范学院博士科研启动项目的资助
关键词
复句
分句语义关联
小句关联体
主语一致性
词汇复现
complex sentences
clausal semantics
clause complex
consistency in subject
vocabulary reappearing