摘要
汉语界面单位的递归性函数法则显示,"字"是汉语最小离散的语法单位,其存在导致了汉语词位和词位变体切分的永恒矛盾对立。汉英语在大脑神经认知网络中处理方式的异同揭示汉语词身份的识别存在依赖声调、语境不断进行语音-语义的投射过程。汉语的词类可归属于句法或语篇语用凸显型词类,但是词的表述功能、语义类和所处的句法结构不能完全帮助识别词的语类,从而带来汉语词类的内在不确定性。
The recursive mathematical law underlying the interface of linguistic units in Chinese shows that zi （character） is the minimal discrete grammatical unit in Chinese, whose existence leads to the eternal contradiction between lexeme and word form. The similarities and differences in the interaction of neural networks between Chinese and English indicate that word identification in Chinese is more dependent on tone and context for further pho- netic - semantic mapping. Grammatical categories in Chinese are subsumed under syntac tic or discursive pragmatic -prominent typology. The expressive functions, semantic classes and syntactic structures are not entirely helpful in identifying grammatical categories of lexical items in Chinese, bringing about their inherent uncertainty.
出处
《贵州民族大学学报（哲学社会科学版）》
2015年第5期86-95,共10页
Journal of Guizhou Minzu University:Philosophy and Social Science
基金
2011年教育部基地重大项目"基于系统语音对应的核心词分阶及建模研究"[项目编号:11JJD740004]
2013年国家社科基金重点项目"基于严格语音对应的汉语与民族语言关系字专题研究"[项目编号:13AZD051]
2014年国家社科基金重大项目"基于中国语言及方言的语言接触类型和演化建模研究"[项目编号:14ZBD102]
关键词
汉语
词位
语类
神经认知
Chinese
lexeme
grammatical category
neural cognition
