{"title":"基于语料库的形容词“羞耻”补语模式分析","authors":"S. Dimitrova, Temenuzhka Seizova-Nankova","doi":"10.46687/zkkq9762","DOIUrl":null,"url":null,"abstract":"The paper presents a corpus-based analysis of the predicative use of the adjective “ashamed” giving a full description of its complementation patterns with the help of the Valency Theory (VT – Herbst et al., 2004). The findings are based on a reference corpus extracted from the British National Corpus (BNC) by using the SkE software. The analysis reveals the advantages of the approach used for learners at levels B1 and B2 while, on the other hand, it shows the insufficiency of information found in the main English dictionaries (OALD, LDCE, etc.). It also demonstrates how both language learning and teaching, and materials production could be optimized using the corpus-based analysis.","PeriodicalId":34330,"journal":{"name":"Studies in Linguistics Culture and FLT","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Corpus-Based Analysis Of The Complementation Patterns Of The Adjective “Ashamed”\",\"authors\":\"S. Dimitrova, Temenuzhka Seizova-Nankova\",\"doi\":\"10.46687/zkkq9762\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents a corpus-based analysis of the predicative use of the adjective “ashamed” giving a full description of its complementation patterns with the help of the Valency Theory (VT – Herbst et al., 2004). The findings are based on a reference corpus extracted from the British National Corpus (BNC) by using the SkE software. The analysis reveals the advantages of the approach used for learners at levels B1 and B2 while, on the other hand, it shows the insufficiency of information found in the main English dictionaries (OALD, LDCE, etc.). It also demonstrates how both language learning and teaching, and materials production could be optimized using the corpus-based analysis.\",\"PeriodicalId\":34330,\"journal\":{\"name\":\"Studies in Linguistics Culture and FLT\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-08-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Studies in Linguistics Culture and FLT\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.46687/zkkq9762\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Studies in Linguistics Culture and FLT","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46687/zkkq9762","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
本文运用配价理论(VT - Herbst et al., 2004)对形容词“shame”的谓语用法进行了基于语料库的分析,并对其补语模式进行了全面描述。研究结果是基于参考语料库提取的英国国家语料库(BNC)使用SkE软件。分析揭示了B1级和B2级学习者使用的方法的优势,另一方面,它显示了主要英语词典(OALD, LDCE等)中信息的不足。它还演示了如何使用基于语料库的分析来优化语言学习和教学以及材料制作。
A Corpus-Based Analysis Of The Complementation Patterns Of The Adjective “Ashamed”
The paper presents a corpus-based analysis of the predicative use of the adjective “ashamed” giving a full description of its complementation patterns with the help of the Valency Theory (VT – Herbst et al., 2004). The findings are based on a reference corpus extracted from the British National Corpus (BNC) by using the SkE software. The analysis reveals the advantages of the approach used for learners at levels B1 and B2 while, on the other hand, it shows the insufficiency of information found in the main English dictionaries (OALD, LDCE, etc.). It also demonstrates how both language learning and teaching, and materials production could be optimized using the corpus-based analysis.