Applied Corpus Linguistics最新文献

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Investigating the visual content of a commercialized academic listening test: Implications for validity 调查商业化学术听力测试的视觉内容:对有效性的影响
Applied Corpus Linguistics Pub Date : 2024-12-01 Epub Date: 2024-10-18 DOI: 10.1016/j.acorp.2024.100109
Zhuohan Hou , Vahid Aryadoust , Azrifah Zakaria
{"title":"Investigating the visual content of a commercialized academic listening test: Implications for validity","authors":"Zhuohan Hou ,&nbsp;Vahid Aryadoust ,&nbsp;Azrifah Zakaria","doi":"10.1016/j.acorp.2024.100109","DOIUrl":"10.1016/j.acorp.2024.100109","url":null,"abstract":"<div><div>As incorporating visual modes in listening tests is gradually gaining traction in second language (L2) assessment, the inclusion of such visuals brings up questions about the role of visual modes in meaning-making during listening and test validity. In this study, we investigated the visual features of the International English Language Testing System (IELTS) listening test through the application of the social semiotic multimodal framework. Our corpus comprised 300 visuals from 256 academic listening testlets published between 1996 and 2022. Unlike the past studies of social semiotic multimodal analyses that relied on qualitative methods, our study adopted a series of visualization and quantitative statistical analysis of frequency and dispersion measures, using the general linear model to examine the visuals from a social semiotic multimodal perspective. The results revealed significant variation in the visual structures of the testlets. Through applying a post-hoc analysis, we further proposed recommendations for further research on multimodal materials in listening assessment and discussed the implications of the observed variation for the validity of the IELTS listening test. This study may be considered the first attempt to examine L2 listening assessment from a corpus-based social semiotic multimodal perspective, which may inspire more investigations on multimodal listening.</div></div>","PeriodicalId":72254,"journal":{"name":"Applied Corpus Linguistics","volume":"4 3","pages":"Article 100109"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142537362","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
FreeTxt: A corpus-based bilingual free-text survey and questionnaire data analysis toolkit FreeTxt:基于语料库的双语自由文本调查和问卷数据分析工具包
Applied Corpus Linguistics Pub Date : 2024-12-01 Epub Date: 2024-08-23 DOI: 10.1016/j.acorp.2024.100103
Dawn Knight , Nouran Khallaf , Paul Rayson , Mahmoud El-Haj , Ignatius Ezeani , Steve Morris
{"title":"FreeTxt: A corpus-based bilingual free-text survey and questionnaire data analysis toolkit","authors":"Dawn Knight ,&nbsp;Nouran Khallaf ,&nbsp;Paul Rayson ,&nbsp;Mahmoud El-Haj ,&nbsp;Ignatius Ezeani ,&nbsp;Steve Morris","doi":"10.1016/j.acorp.2024.100103","DOIUrl":"10.1016/j.acorp.2024.100103","url":null,"abstract":"<div><p>Qualitative free-text responses (e.g. from questionnaires and surveys) pose a challenge to many companies and institutions which lack the expertise to analyse such data with ease. While a range of sophisticated tools for the analysis of text <em>do</em> exist, these are often expensive, difficult to use and/or inaccessible to non-expert users. These tools also lack support for the analysis of English <em>and</em> Welsh text, which can be a particular challenge in the bilingual context of Wales. This paper details the key functionalities of the first corpus-based ‘FreeTxt’ toolkit which has been designed to support the systematic analysis and visualisation of free-text data, as a direct response to these two key needs. This paper demonstrates how, by working in partnership, software engineers, natural language processing (NLP) experts and corpus linguists can collaborate with end-users and beneficiaries to provide effective solutions to real world problems. Through the development of FreeTxt (<span><span>www.freetxt.app</span><svg><path></path></svg></span>), we aimed to empower end-users to <em>direct</em> and lead their own analyses of both small-scale and more extensive datasets to maximise the reach and potential impact generated. The approaches reported here, and the bilingual toolkit developed, can be replicated and extended for use in other language contexts and across a range of public and professional sectors. FreeTxt is now available for the analysis of Welsh and/or English, for use by <em>anyone</em> in <em>any sector</em> in Wales and beyond.</p></div>","PeriodicalId":72254,"journal":{"name":"Applied Corpus Linguistics","volume":"4 3","pages":"Article 100103"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666799124000200/pdfft?md5=65f8a01d41b4150af967f22d4f542b8f&pid=1-s2.0-S2666799124000200-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142150563","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Analysis of verb argument constructions (VACs) in L2 learners across proficiency levels: A corpus-based study in L1 Indonesian 分析不同水平的 L2 学习者的动词论证结构 (VAC):基于语料库的印尼语第一语言研究
Applied Corpus Linguistics Pub Date : 2024-12-01 Epub Date: 2024-06-16 DOI: 10.1016/j.acorp.2024.100097
Febriana Lestari
{"title":"Analysis of verb argument constructions (VACs) in L2 learners across proficiency levels: A corpus-based study in L1 Indonesian","authors":"Febriana Lestari","doi":"10.1016/j.acorp.2024.100097","DOIUrl":"10.1016/j.acorp.2024.100097","url":null,"abstract":"<div><p>This study investigated the constructional knowledge development of L1 Indonesian by examining nineteen Verb-Argument Constructions (VACs). The VACs examined in the present study are a verb pattern, followed by a preposition and a noun phrase, for example, “V <em>about</em> N” as in “He <u>talked</u> <em>about</em> <u>the progress</u>”. This study used the Indonesian subset of the Education First Cambridge Open Language Database (EFCAMDAT) corpus from beginner to advanced levels (CEFR A1 to C1; Council of Europe, 2001). This dataset comprises 2943 writing texts (224,763 words) from 623 learners. Frequency analysis of types and tokens was conducted to examine the distribution of the 19 VACs in learner writings across levels. Growth analyses were conducted to investigate the verbs that learners most frequently associated with the most productive VACs. Correlational analyses were conducted to explore how closely related the verb-VAC associations between proficiency levels and the verb occupants in the associations. The results indicate that learners’ constructional knowledge development was implied by: (1) the frequency increase in types and tokens of VACs from lower to higher proficiency levels, (2) the variety of verbs associated with VACs, and (3) the construction schematicity increase indicated by the use of general to more specific verb productions distinct to proficiency levels. The results suggest that English language learners need more exposure to lexicogrammatical features to facilitate VACs acquisition and usage.</p></div>","PeriodicalId":72254,"journal":{"name":"Applied Corpus Linguistics","volume":"4 3","pages":"Article 100097"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141403911","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Book review of Designing and Evaluating Language Corpora 设计和评估语言语料库》书评
Applied Corpus Linguistics Pub Date : 2024-12-01 Epub Date: 2024-07-18 DOI: 10.1016/j.acorp.2024.100100
Kimberly P. Becker
{"title":"Book review of Designing and Evaluating Language Corpora","authors":"Kimberly P. Becker","doi":"10.1016/j.acorp.2024.100100","DOIUrl":"10.1016/j.acorp.2024.100100","url":null,"abstract":"","PeriodicalId":72254,"journal":{"name":"Applied Corpus Linguistics","volume":"4 3","pages":"Article 100100"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141962074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Attitudes, communicative functions, and lexicogrammatical features of anti-vaccine discourse on Telegram Telegram 上反疫苗言论的态度、交际功能和词汇语法特征
Applied Corpus Linguistics Pub Date : 2024-08-01 Epub Date: 2024-05-14 DOI: 10.1016/j.acorp.2024.100095
Souad Boumechaal , Serge Sharoff
{"title":"Attitudes, communicative functions, and lexicogrammatical features of anti-vaccine discourse on Telegram","authors":"Souad Boumechaal ,&nbsp;Serge Sharoff","doi":"10.1016/j.acorp.2024.100095","DOIUrl":"10.1016/j.acorp.2024.100095","url":null,"abstract":"<div><p>This paper reports the process of collecting a corpus with examples of anti-vaccine discourse and the results of its linguistic analysis. The overall aim of the project is to help public health authorities to improve their communication campaigns by better understanding the conditions for misinformation spreading via social media. More specifically, this paper analyses linguistic properties of a corpus of prominent misinformation channels in Telegram as compared against a more general COVID corpus as well as against a general purpose English corpus. For this paper, the quantitative analysis relies on corpus querying to identify the most recurrent discourse patterns related to COVID vaccines. We use the appraisal framework to analyse the patterns with respect to the attitudes conveyed in the messages. We have also applied an automatic AI classifier to predict communicative functions of these texts. This allows us to examine them more closely through the use of simple lexicogrammatical features following Biber, as well as their ideational processes following Halliday. The findings show that common collocations in the Telegram corpus containing misinformation draw on three attitudes: fear, insecurity, and mistrust in COVID vaccines which are discursively constructed to promote vaccine hesitancy among social media users. Furthermore, the misinformation messages tend to occur more often in such communicative functions as promotional texts, news reporting, and text expressed as presenting reference information.</p></div>","PeriodicalId":72254,"journal":{"name":"Applied Corpus Linguistics","volume":"4 2","pages":"Article 100095"},"PeriodicalIF":0.0,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141031247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Applying corpus linguistics to the law 将语料库语言学应用于法律
Applied Corpus Linguistics Pub Date : 2024-08-01 Epub Date: 2024-04-14 DOI: 10.1016/j.acorp.2024.100093
Jesse Egbert , Ute Römer-Barron
{"title":"Applying corpus linguistics to the law","authors":"Jesse Egbert ,&nbsp;Ute Römer-Barron","doi":"10.1016/j.acorp.2024.100093","DOIUrl":"https://doi.org/10.1016/j.acorp.2024.100093","url":null,"abstract":"","PeriodicalId":72254,"journal":{"name":"Applied Corpus Linguistics","volume":"4 2","pages":"Article 100093"},"PeriodicalIF":0.0,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140620603","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
‘Luxurious’ metaphors in luxury hotel websites in Singapore and Hong Kong: A mixed-methods study 新加坡和香港豪华酒店网站中的 "奢华 "隐喻:混合方法研究
Applied Corpus Linguistics Pub Date : 2024-08-01 Epub Date: 2024-02-28 DOI: 10.1016/j.acorp.2024.100090
Joanna Zhuoan Chen, Kathleen Ahrens, Dennis Tay
{"title":"‘Luxurious’ metaphors in luxury hotel websites in Singapore and Hong Kong: A mixed-methods study","authors":"Joanna Zhuoan Chen,&nbsp;Kathleen Ahrens,&nbsp;Dennis Tay","doi":"10.1016/j.acorp.2024.100090","DOIUrl":"https://doi.org/10.1016/j.acorp.2024.100090","url":null,"abstract":"<div><p>Previous research has yielded a substantial body of empirical evidence regarding the use of metaphors in various types of discourse. However, limited research exists on the relationship between metaphor and more segmented economic industries, such as the luxury hospitality sector. The attention of this article is directed towards inspecting how metaphorical expressions are deployed by luxury hotels to construct their luxury identity and attract potential guests.</p><p>A corpus of 62 lxury hotel websites from Singapore and Hong Kong is used as the contextual background for the investigation of metaphor usage in this study. Using MIPVU (Metaphor Identification Procedure VU University Amsterdam), a total of 6990 metaphorical keywords, including a diverse range of 28 source domains were observed. Among others, the five most productive source domains in the corpus are <span>living organism, physical object, space, artifact, and motion</span>. A mixed-methods approach that combines both quantitative data analytics and qualitative discourse analysis reveals and interprets significant associations between source domains, hotel facilities, and regions, suggesting that the choice of metaphorical expressions is not arbitrary but is influenced by specific factors related to the hotel's offerings and cultures. This study emphasises that the analysis of lexical-conceptual patterns in promotional texts can generate deeper insights into positioning strategies.</p></div>","PeriodicalId":72254,"journal":{"name":"Applied Corpus Linguistics","volume":"4 2","pages":"Article 100090"},"PeriodicalIF":0.0,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140191302","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Wash your hands: CDC, WHO, and NHS tweets in the #COVID19 pandemic 洗手:疾病预防控制中心、世卫组织和国家医疗服务体系在 #COVID19 大流行中的推文
Applied Corpus Linguistics Pub Date : 2024-08-01 Epub Date: 2024-05-13 DOI: 10.1016/j.acorp.2024.100094
Katherine A Ireland
{"title":"Wash your hands: CDC, WHO, and NHS tweets in the #COVID19 pandemic","authors":"Katherine A Ireland","doi":"10.1016/j.acorp.2024.100094","DOIUrl":"10.1016/j.acorp.2024.100094","url":null,"abstract":"<div><p>This work tracks public health messaging and evidence of stability and change in corpora of the Centers for Disease Control and Prevention (CDC), World Health Organization (WHO), and National Health Service (NHS) official account tweets throughout 2020. Using corpus-based methods, including keyword analysis, major similarities and differences are identified across tweets by each organization over time. Larger macro-level and micro-level discourses and linguistic patterns are revealed, with specific applications relevant to public health and governmental messaging, especially regarding risk and health communication. Findings include the NHS providing the most comprehensive and varied messaging out of each organization, including references to recommended actions, communities and individuals, and information. The WHO focuses predominantly on cases and region-specific information, while the CDC includes a variety of information, with a US-internal focus. Applications include further recommendations for public health communication, including the necessity of diverse linguistic patterns and interactive messaging tactics for governmental organizations.</p></div>","PeriodicalId":72254,"journal":{"name":"Applied Corpus Linguistics","volume":"4 2","pages":"Article 100094"},"PeriodicalIF":0.0,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141054741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Representations of obesity in Australian and UK news coverage: A diachronic comparison 澳大利亚和英国新闻报道中对肥胖的表述:异时空比较
Applied Corpus Linguistics Pub Date : 2024-08-01 Epub Date: 2024-03-18 DOI: 10.1016/j.acorp.2024.100092
Luke C. Collins , Paul Baker , Gavin Brookes
{"title":"Representations of obesity in Australian and UK news coverage: A diachronic comparison","authors":"Luke C. Collins ,&nbsp;Paul Baker ,&nbsp;Gavin Brookes","doi":"10.1016/j.acorp.2024.100092","DOIUrl":"https://doi.org/10.1016/j.acorp.2024.100092","url":null,"abstract":"<div><p>In both Australia and the UK, the number of adults living with obesity has been increasing over the last 30 years (AIHW, 2023; Baker, 2023). Although policy has emphasised ‘community-based interventions’ in Australia (AIHW, 2017) and ‘system-wide approaches’ in the UK (Ulijaszek and McLennan, 2016) for overcoming the challenges of obesity, previous research has shown that media representations have been dominated by representations promoting individual responsibility (e.g., Kim &amp; Willis, 2007). In this paper, we report our observations of representations documented in corpora of media coverage from Australia and the UK between 2008-2017. The corpora amount to 16.4 million tokens and 36 million tokens, respectively. We identify key semantic domains for each year of the corpora and discuss both consistent and shifting themes in the data. Our findings show that the Australian coverage provides a more sustained focus on responses to obesity at the societal level, referring to practices in the food industry and differences between communities that can lead to health disparities. By comparison, while there is an increase in the amount of coverage in the UK press referring to obesity, the content became more narrowly focussed on food consumption and weight loss over the study period. The findings demonstrate how media coverage contributes to public understanding of how to respond to the challenges of obesity.</p></div>","PeriodicalId":72254,"journal":{"name":"Applied Corpus Linguistics","volume":"4 2","pages":"Article 100092"},"PeriodicalIF":0.0,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666799124000091/pdfft?md5=6e9ecc0d87ef63dc626b52509b233d53&pid=1-s2.0-S2666799124000091-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140180464","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Corpus-linguistic approaches to lexical statutory meaning: Extensionalist vs. intensionalist approaches 词汇法定意义的语料库语言学方法:外延主义与内涵主义方法
Applied Corpus Linguistics Pub Date : 2024-04-01 Epub Date: 2023-12-19 DOI: 10.1016/j.acorp.2023.100079
Stefan Th. Gries, Brian G. Slocum, Kevin Tobia
{"title":"Corpus-linguistic approaches to lexical statutory meaning: Extensionalist vs. intensionalist approaches","authors":"Stefan Th. Gries,&nbsp;Brian G. Slocum,&nbsp;Kevin Tobia","doi":"10.1016/j.acorp.2023.100079","DOIUrl":"https://doi.org/10.1016/j.acorp.2023.100079","url":null,"abstract":"<div><p>Scholars and practitioners interested in legal interpretation have become increasingly interested in corpus-linguistic methodology. <span>Lee and Mouritsen (2018)</span> developed and helped popularize the use of concordancing and collocate displays (of mostly COCA and COHA) to operationalize a central notion in legal interpretation, the <strong>ordinary meaning</strong> of expressions. This approach provides a good first approximation but is ultimately limited. Here, we outline an approach to ordinary meaning that is <strong>intensionalist</strong> (i.e., 'feature-based'), top-down, and informed by the notion of <strong>cue validity in prototype theory</strong>. The key advantages of this approach are that (i) it avoids the which-value-on-a-dimension problem of extensionalist approaches, (ii) it provides quantifiable prototypicality values for things whose membership status in a category is in question, and (iii) it can be extended even to cases for which no textual data are yet available. We exemplify the approach with two case studies that offer the option of utilizing survey data and/or word embeddings trained on corpora by deriving cue validities from word similarities. We exemplify this latter approach with the word <em>vehicle</em> on the basis of (i) an embedding model trained on 840 billion words crawled from the web, but now also with the more realistic application (in terms of corpus size and time frame) of (ii) an embedding model trained on the 1950s time slice of COHA to address the question to what degree Segways, which didn't exist in the 1950s, qualify as vehicles in this intensional approach.</p></div>","PeriodicalId":72254,"journal":{"name":"Applied Corpus Linguistics","volume":"4 1","pages":"Article 100079"},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666799123000394/pdfft?md5=fffa64c5cf04e01a22d462ddb9e4441e&pid=1-s2.0-S2666799123000394-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139099518","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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