{"title":"护理研究论文样本语料库中的词汇搭配","authors":"Kantapat Trinant, Butsakorn Yodkamlue","doi":"10.55766/obxc3400","DOIUrl":null,"url":null,"abstract":"This corpus-based study was conducted in an attempt to facilitate the teaching and learning of English as a Foreign Language (EFL) and English as a Second Language (ESL) as well as English for Specific Purposes (ESP) by exploring lexical collocations in a Sample Corpus of Nursing Research Articles (SCNRA). The SCNRA, with a corpus size of over 1.25 million running words, was compiled from 300 research articles from 10 nursing journals. Under the set criteria, 717 keywords were obtained using the AntConc version 3.4.4. The majority of the keywords were nouns (63.51%), followed by adjectives (21.54%), verbs (13.44%), and adverbs (1.51%) respectively. The keywords then were used as “nodes” to find their “collocates” which generated 2,148 pairs of lexical collocations with 14 combination types, where six combination types were in accordance with the set framework adapted from Benson et al.’s (2010). The majority of them were Noun + Noun (41.39%), Adjective + Noun (28.4%), and Noun + Verb (11.17%) respectively. The lists of the keywords and the collocations produced are provided.","PeriodicalId":145995,"journal":{"name":"Suranaree Journal of Social Science","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Lexical Collocations in a Sample Corpus of Nursing Research Articles (SCNRA)\",\"authors\":\"Kantapat Trinant, Butsakorn Yodkamlue\",\"doi\":\"10.55766/obxc3400\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This corpus-based study was conducted in an attempt to facilitate the teaching and learning of English as a Foreign Language (EFL) and English as a Second Language (ESL) as well as English for Specific Purposes (ESP) by exploring lexical collocations in a Sample Corpus of Nursing Research Articles (SCNRA). The SCNRA, with a corpus size of over 1.25 million running words, was compiled from 300 research articles from 10 nursing journals. Under the set criteria, 717 keywords were obtained using the AntConc version 3.4.4. The majority of the keywords were nouns (63.51%), followed by adjectives (21.54%), verbs (13.44%), and adverbs (1.51%) respectively. The keywords then were used as “nodes” to find their “collocates” which generated 2,148 pairs of lexical collocations with 14 combination types, where six combination types were in accordance with the set framework adapted from Benson et al.’s (2010). The majority of them were Noun + Noun (41.39%), Adjective + Noun (28.4%), and Noun + Verb (11.17%) respectively. The lists of the keywords and the collocations produced are provided.\",\"PeriodicalId\":145995,\"journal\":{\"name\":\"Suranaree Journal of Social Science\",\"volume\":\"52 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Suranaree Journal of Social Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.55766/obxc3400\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Suranaree Journal of Social Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.55766/obxc3400","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
摘要
本研究旨在探讨护理研究文章样本语料库(SCNRA)中的词汇搭配，以促进英语作为外语(EFL)、英语作为第二语言(ESL)和特殊用途英语(ESP)的教学。SCNRA的语料库规模超过125万运行字，由10个护理期刊的300篇研究论文汇编而成。在设定的条件下，使用AntConc 3.4.4版本获得717个关键词。关键词以名词为主(63.51%)，其次是形容词(21.54%)、动词(13.44%)和副词(1.51%)。然后将关键词作为“节点”寻找它们的“搭配”，生成了2148对词汇搭配，包含14种组合类型，其中6种组合类型符合Benson et al.(2010)改编的集合框架。其中以名词+名词(41.39%)、形容词+名词(28.4%)和名词+动词(11.17%)居多。提供了关键字列表和所产生的搭配。
Lexical Collocations in a Sample Corpus of Nursing Research Articles (SCNRA)
This corpus-based study was conducted in an attempt to facilitate the teaching and learning of English as a Foreign Language (EFL) and English as a Second Language (ESL) as well as English for Specific Purposes (ESP) by exploring lexical collocations in a Sample Corpus of Nursing Research Articles (SCNRA). The SCNRA, with a corpus size of over 1.25 million running words, was compiled from 300 research articles from 10 nursing journals. Under the set criteria, 717 keywords were obtained using the AntConc version 3.4.4. The majority of the keywords were nouns (63.51%), followed by adjectives (21.54%), verbs (13.44%), and adverbs (1.51%) respectively. The keywords then were used as “nodes” to find their “collocates” which generated 2,148 pairs of lexical collocations with 14 combination types, where six combination types were in accordance with the set framework adapted from Benson et al.’s (2010). The majority of them were Noun + Noun (41.39%), Adjective + Noun (28.4%), and Noun + Verb (11.17%) respectively. The lists of the keywords and the collocations produced are provided.
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