文献类型：期刊文献

英文题名：A review of statistical and cognitive learning for sentence processing

作者：Guo, Yi[1]; Li, Yan[2]; Shao, Zhiqing[1]

机构：[1] Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai 200237, China; [2] School of Foreign Languages, East China University of Science and Technology, Shanghai 200237, China

年份：2011

起止页码：101

外文期刊名：2011 IEEE 3rd International Conference on Communication Software and Networks, ICCSN 2011

收录：EI(收录号：20113914378260)

语种：英文

外文关键词：Syntactics - Natural language processing systems - Learning algorithms - Learning systems

摘要：In the research field of natural language processing (NLP), sentence stands a very prominent position in text processing. The procedure of sentence processing acquires technologies at a higher level, such as computing the meaning of a sentence based on analysis of meanings of its individual words. This paper reviews several typical research works for statistical learning, highlights relevant cognitive concepts and models, introduces a cognitive sentence parser based on Simple Recurrent Networks (SRNs), and concludes that further research should be implemented with more cognitive models. ? 2011 IEEE.