动词
语言学
计算机科学
自然语言处理
框架网
帧(网络)
人工智能
语义角色标注
确定性
心理学
数学
判决
解析
哲学
几何学
电信
作者
Isabel Verdaguer,Judy Noguchi
出处
期刊:Revista Espanola De Linguistica Aplicada
[John Benjamins Publishing Company]
日期:2018-12-27
卷期号:31 (2): 660-685
标识
DOI:10.1075/resla.16019.ver
摘要
Abstract This paper examines the collocational patterns of frequent verbs in medical research articles, and proposes a way to help non-native speakers of English learn word combinations frequently used in specific professional genres. We explore the correlations in the syntactico-semantic behavior and the collocational patterns of related verbs, in order to systematically teach recurrent word combinations.To this end, we present a corpus-based analysis of the collocational patterning of the verbs which belong to the same semantic frame in FrameNet , the frame EVIDENCE. These verbs were identified in 397 medical research articles from a pre-release version of the PERC (Professional English Research Consortium) corpus (3,155,118 tokens and 115,960 word types). The verbs examined, in approximate order of degree of increasing certainty, are suggest, argue, show, reveal, prove, demonstrate, substantiate, verify, confirm and corroborate . The results reveal that verbs that can be grouped into semantic and syntactic coherent sets also share combinatorial properties. We conclude that, rather than studying isolated verbs, making learners aware of these patterns of verb groups can greatly contribute toward efficient learning of the language of professional texts.
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