Content of 语言认知与计算 in our journal
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  • Language Recognition and Its computing
    YAO Dengfeng, JIANG Minghu, CHANG Jung-hsing, Abudoukelimu Abulizi
    . 2018, 32(3): 1-8.
    Classifier predicates is a unique language phenomenon in sign language. Chinese scholars-study on classifier predicates has just started, without yielding a systematic report. This paper attempts to explain the phenomenon of classifier predicates from the perspective of linguistics. It explains the classifier predicates in Chinese sign language, and analyzes how the figure and the ground proforms formed to achieve synchroneity and sequentiality requirements of sign language by combined analysis of Talmy‘s Dynamic events and proforms. It reveals that the figure proforms and ground proforms are usually made by non-moving hand shape.It also illustrates the intermotion of sign language and Chinese, making a detailed description and classification to the two sign preforms “motion” and “be located”.
  • Language Recognition and Its computing
    CHEN Xiuqing
    . 2018, 32(3): 9-16.
    This study discusses the formation mechanism and constraints on redundant negation by themethod of combining quantitative analysis with qualitative analysis. The formation of redundant negation is the syntactic realization of semantic hidden negation, on the basis on implicit negative words. Implicit negative words also lay essential shape restrictions to the formation of redundant negation. The negative meaning of implicit negative words vary according to different sources, leading to the different abilities in redundant negation. These words with negative meaning form entailment have the strongest ability to form redundant negation, followed by those from presupposition, and those from conversational implication, with those form assertion have the least ability to from the redundant negation.. This statistics reveals this with a clear steep curve.