词(群论)
联想(心理学)
文字联想
自然语言处理
计算机科学
语料库语言学
语言学
变化(天文学)
集合(抽象数据类型)
英国国家语料库
任务(项目管理)
人工智能
心理学
哲学
物理
管理
天体物理学
经济
心理治疗师
程序设计语言
作者
Winnie Cheng,Chris Greaves,Martin Warren
标识
DOI:10.1075/ijcl.11.4.04che
摘要
Uncovering the extent of word associations and how they are manifested has been an important area of study in corpus linguistics since the 1960s (Sinclair et al. 1970). This paper defines and describes a new way of categorising word association, the concgram , which constitutes all of the permutations of constituency and positional variation generated by the association of two or more words. Concgrams are identified without prior input from the user (other than to set the size of the span) employing a fully automated search that reveals all of the word association patterns that exist in a corpus. This study argues that concgrams represent more fully word associations in a corpus. Most concgrams seem to be non-contiguous, and show both constituency (AB, ACB) and positional (AB, BA) variations. Further studies of concgrams will help in the task of uncovering the full extent of the idiom principle (Sinclair 1987).
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