A Synergetic Approach to the Relationship between the Length and Frequency among English Multiword Formulaic Sequences. Issue 1 (2nd January 2018)

• Record Type: Journal Article
• Authors: Dai, Xueting; Qu, Yunhua; Feng, Zhiwei
• Is Part Of: Journal of quantitative linguistics. Volume 25:Issue 1(2018)
• Page Start: 22
• Page End: 37
• Publication Date: 2018-01-02
• Subjects: Linguistics -- Statistical methods -- Periodicals; 410.151
• DOI: 10.1080/09296174.2017.1338119
• Languages: English
• ISSNs: 0929-6174

Abstract

Abstract: The present paper employs a synergetic approach to exploring the relationship between the length and frequency among English multiword formulaic sequences. It attempts to test whether Zipf's assumption on the inverse relationship between word length and word frequency, as well as the synergetic model constructed at lexical level, can be extended to multiword formulaic sequences. A corpus-driven approach is adopted to acquire sufficient data. Results show partial applicability of the assumption to a small part of formulaic sequences: sequences of words with whole structure and complete meaning. However, the majority of formulaic sequences, lexical bundles, are proved to be an exception to the conventional rule. The paper tries to offer explanation by exploring further the features of lexical bundles. It concludes that the synergetic system of length and frequency among lexical bundles is operated under the compromise between the requirements of minimization of production efforts and the requirements of maximization of information. Based on the analysis of synergetic relationship between length and frequency, this research shall prove that language is a self-regulating system, and that observed language phenomena can be understood and explained by laws and models. Besides, this study also includes register differences and offers a new perspective to register analysis.