VACs in Usage

Abstract

Language LearningVolume 66, Issue S1 p. 69-97 Article VACs in Usage First published: 25 May 2016 https://doi.org/10.1111/lang.3_12177Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat Supporting Information Additional Supporting Information may be found in the online version of this article at the publisher's website: Filename Description lang3_12177-sup-0001-SupMat.pdf1.9 MB Table S3.1 Similarity Matrix for the Top 15 Verbs in the ‘V about n’ VAC from the BNC Using the WordNet Path Similarity Measure Table S3.2 Degree Distributions for Networks in Figures S3.7, S3.8, and S3.9, Based on ‘V about n’ Data Table S3.3 Values for 18 ‘V preposition n’ VACs on Metrics of Zipfian Distribution and Verb Form Selectivity Table S3.4 Top 20 Verbs in the ‘V across n’ VAC Semantic Network by Degree and Betweenness Centrality Figure S3.1 Part of the COBUILD Grammar Patterns entry for ‘V about n’ (Francis et al., 1996, p. 145). Figure S3.2 Precision analysis interface shown reviewing a sample of ‘V about n’ sentences extracted from the BNC. Figure S3.3 Representation of a sentence incorrectly identified as an instance of the ‘V about n’ VAC. Figure S3.4 Recall results for an early stage exploratory search of the ‘V about n’ VAC in BNCweb. Figure S3.5 Representation of a correct ‘V about n’ sentence excluded by initial search graph. Figure S3.6 Search complexities introduced by complex conjunctive relations in noun and verb phrases. Figure S3.7 Semantic similarity network for the top 15 verbs in the ‘V about n’ VAC using the WordNet Path Similarity measure. Figure S3.8 Semantic similarity network for the top 15 verbs in the ‘V about n’ VAC using the WordNet WUP Similarity measure. Figure S3.9 Semantic similarity network for the top 15 verbs in the ‘V about n’ VAC using the DISCO Similarity measure. Figure S3.10 Schematic summary of the VAC usage analyses. Figure S3.11 Frequency versus rank (left), log Frequency versus log rank (center), and log binned frequency against log cumulative frequency (right) type–token frequency distributions for ‘V across n.’ Figure S3.12 Semantic similarity network for the ‘V across n’ VAC. Figure S3.13 Degree distribution of the semantic network for ‘V across n.’ Figure S3.14 Degree distributions of the VAC semantic networks. Figure S3.15 Degree versus frequency for the top 30 most frequent verbs in the VACs ‘V about n’ to ‘V into n.’ Figure S3.16 Degree versus frequency for the top 30 most frequent verbs in the VACs ‘V like n’ to ‘V with n.’ Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article. Volume66, IssueS1Special Issue: Language Learning Monograph Series: Usage-based Approaches to Language Acquisition and Processing: Cognitive and Corpus Investigations of Construction GrammarJune 2016Pages 69-97 RelatedInformation