Applied Corpus Linguistics最新文献_第4页

Erratum regarding missing Declaration of Competing Interest statements in previously published articles 关于先前发表的文章中缺少竞争利益声明的勘误表

Applied Corpus Linguistics Pub Date : 2023-12-01 DOI: 10.1016/j.acorp.2023.100071

引用次数: 0

Exploring early L2 writing development through the lens of grammatical complexity 从语法复杂性的角度探讨早期二语写作的发展

Applied Corpus Linguistics Pub Date : 2023-10-30 DOI: 10.1016/j.acorp.2023.100077

Tove Larsson , Tony Berber Sardinha , Bethany Gray , Douglas Biber

{"title":"Exploring early L2 writing development through the lens of grammatical complexity","authors":"Tove Larsson , Tony Berber Sardinha , Bethany Gray , Douglas Biber","doi":"10.1016/j.acorp.2023.100077","DOIUrl":"https://doi.org/10.1016/j.acorp.2023.100077","url":null,"abstract":"<div><p>The present study explores the development of grammatical complexity in L2 English writing at the beginner, lower intermediate, and upper intermediate levels to see (i) to what extent the developmental stages proposed in Biber et al. (2011) are evident in low-proficiency L2 writing, and if so, what the patterns of progression are, and (ii) whether students gradually move away from speech-like production toward more advanced written production. We use data from COBRA, a corpus of L1 Brazilian Portuguese learner production, along with BR-ICLE and BR-LINDSEI. All the data were tagged using the Biber tagger (Biber, 1988) and the Developmental Complexity tagger (Gray et al., 2019), and subsequently analyzed using a technique developed in Staples et al. (2022) to quantify developmental profiles across levels. The technique considers not only overall change in frequency across levels, but also the incremental variation across each adjacent level (based on % frequency changes). The results show that the features were infrequent overall, with a majority of both clausal and phrasal features exhibiting an increase in frequency across the levels, albeit to varying degrees. This general pattern is contrary to predictions based on findings from previous studies, which found phrasal features increasing in use and clausal features <em>decreasing</em> in use. Nonetheless, for the features associated with each developmental stage, the frequencies generally increased, becoming more similar to advanced written production and more dissimilar to spoken production, as hypothesized in Biber et al. (2011).</p></div>","PeriodicalId":72254,"journal":{"name":"Applied Corpus Linguistics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91989988","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

Effective corpus use in second language learning: A meta-analytic approach 第二语言学习中语料库的有效使用:一种元分析方法

Applied Corpus Linguistics Pub Date : 2023-10-21 DOI: 10.1016/j.acorp.2023.100076

Shotaro Ueno , Osamu Takeuchi

引用次数: 0

Using corpus linguistics to create tasks for teaching and assessing Aeronautical English 运用语料库语言学创建航空英语教学和评估任务

Applied Corpus Linguistics Pub Date : 2023-10-11 DOI: 10.1016/j.acorp.2023.100075

Aline Pacheco , Angela Carolina de Moraes Garcia , Ana Lúcia Tavares Monteiro , Malila Carvalho de Almeida Prado , Patrícia Tosqui-Lucks

引用次数: 0

Lexical change and stability in 100 years of English in US newspapers 美国报纸100年来英语词汇的变化与稳定

Applied Corpus Linguistics Pub Date : 2023-09-08 DOI: 10.1016/j.acorp.2023.100073

Robert Poole , Qudus Ayinde Adebayo

引用次数: 0

Data-driven Learning Meets Generative AI: Introducing the Framework of Metacognitive Resource Use 数据驱动学习与生成式人工智能:引入元认知资源使用框架

Applied Corpus Linguistics Pub Date : 2023-09-07 DOI: 10.1016/j.acorp.2023.100074

Atsushi Mizumoto

{"title":"Data-driven Learning Meets Generative AI: Introducing the Framework of Metacognitive Resource Use","authors":"Atsushi Mizumoto","doi":"10.1016/j.acorp.2023.100074","DOIUrl":"10.1016/j.acorp.2023.100074","url":null,"abstract":"<div><p>This paper explores the intersection of data-driven learning (DDL) and generative AI (GenAI), represented by technologies like ChatGPT, in the realm of language learning and teaching. It presents two complementary perspectives on how to integrate these approaches. The first viewpoint advocates for a blended methodology that synergizes DDL and GenAI, capitalizing on their complementary strengths while offsetting their individual limitations. The second introduces the Metacognitive Resource Use (MRU) framework, a novel paradigm that positions DDL within an expansive ecosystem of language resources, which also includes GenAI tools. Anchored in the foundational principles of metacognition, the MRU framework centers on two pivotal dimensions: metacognitive knowledge and metacognitive regulation. The paper proposes pedagogical recommendations designed to enable learners to strategically utilize a wide range of language resources, from corpora to GenAI technologies, guided by their self-awareness, the specifics of the task, and relevant strategies. The paper concludes by highlighting promising avenues for future research, notably the empirical assessment of both the integrated DDL-GenAI approach and the MRU framework.</p></div>","PeriodicalId":72254,"journal":{"name":"Applied Corpus Linguistics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48929007","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

Stative verbs and perceptions of intensity: The case of ‘believe’ in simple and progressive aspect 静态动词与强度知觉——以“Believe”的简单体和进行体为例

Applied Corpus Linguistics Pub Date : 2023-09-04 DOI: 10.1016/j.acorp.2023.100072

Naoko Taguchi , Marianna Gracheva

{"title":"Stative verbs and perceptions of intensity: The case of ‘believe’ in simple and progressive aspect","authors":"Naoko Taguchi , Marianna Gracheva","doi":"10.1016/j.acorp.2023.100072","DOIUrl":"10.1016/j.acorp.2023.100072","url":null,"abstract":"<div><p><span>This study assessed the validity of descriptive findings from corpus linguistics research by analyzing human participants’ performance and perception data. While the stative verb </span><em>believe</em> usually occurs in the simple aspect, a corpus-based analysis has revealed that <em>believe</em> also occurs in the progressive form in communicative situations conveying a heightened degree of intensity and marked with specific linguistic features such as intensifying adjectives, adverbs of certainty, direct addresses, and others (<span>Gracheva, in press</span>). This study adopted an experimental approach to further assess the link between the progressive form in situations of use conducive to assertive stance and emotional involvement and its surrounding linguistic characteristics. Eighty-six native English speakers were presented with 24 naturally-occurring texts from corpora. Half of the texts involved linguistic features of intensity (progressive aspect condition), while half involved no such features (simple aspect condition). Participants read the texts and selected the form of <em>believe</em> (simple or progressive aspect) which they thought was appropriate in each text. Results showed that participants selected the progressive aspect 47% of the times for the texts featuring language of intensity, while their selection of that aspect was less than 3% in the simple condition texts. Follow-up interviews revealed that participants sensed the intensity conveyed by the texts (e.g., strong emotion, urgency, emphasis), leading to their choice of the progressive over the simple aspect<em>.</em></p></div>","PeriodicalId":72254,"journal":{"name":"Applied Corpus Linguistics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49497487","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

The DAIS-C: A small, specialised, spoken, schizophrenia corpus DAIS-C:一个小型的、专门的、口语的精神分裂症语料库

Applied Corpus Linguistics Pub Date : 2023-08-23 DOI: 10.1016/j.acorp.2023.100069

Oliver Delgaram-Nejad , Dawn Archer , Gerasimos Chatzidamianos , Louise Robinson , Alex Bartha

引用次数: 0

Development of word count data corpus for Hindi and Marathi literature 印地语和马拉地语文学字数统计语料库的开发

Applied Corpus Linguistics Pub Date : 2023-08-23 DOI: 10.1016/j.acorp.2023.100070

Vivek Belhekar, Radhika Bhargava

{"title":"Development of word count data corpus for Hindi and Marathi literature","authors":"Vivek Belhekar, Radhika Bhargava","doi":"10.1016/j.acorp.2023.100070","DOIUrl":"10.1016/j.acorp.2023.100070","url":null,"abstract":"<div><p><span>India has a huge diversity of languages, and Hindi and Marathi are the most spoken languages in the northern and western parts of India. Hindi and Marathi have more than 528 million and 83 million speakers, respectively. The paper describes the development of the Hindi Word Corpus (Hindi WordCorp) and the Marathi Word Corpus (Marathi WordCorp), reporting the frequency of single words (1-gram) used in written texts of the respective languages using the bag-of-words model (BoW). The word frequencies are provided for eleven decades (pre-1920, 1920 to 2020). These texts include books (fiction, non-fiction, history, autobiographies, etc.) and magazines. Academic and reference books were not used. The Hindi WordCorp and Marathi WordCorp used 640 and 712 texts, respectively. An analysis was employed to check whether the texts used were enough to stabilize the rank-order of the total frequencies of the words. Zipf's and Heaps’ law coefficients indicated the sufficiency of the texts. Researchers in various areas like linguistics, social sciences, text mining, machine learning, etc., can use the dataset to answer research questions about language and culture. Some demonstrative examples are provided for using the datasets in the two languages. The dataset is made available on an </span>open data<span> repository. The paper is an account of dataset creation for Hindi and Marathi WordCorp. Hence, no empirical results or conclusions are made based on the data created. A WebApp named Indian Languages Word Corpus (ILWC) has been developed for users. Future directions for text mining and language models are discussed.</span></p></div>","PeriodicalId":72254,"journal":{"name":"Applied Corpus Linguistics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48742031","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

The identification of YouTube videos that feature the linguistic features of English informal speech YouTube视频中具有英语非正式言语语言特征的识别

Applied Corpus Linguistics Pub Date : 2023-08-20 DOI: 10.1016/j.acorp.2023.100068

Christopher R. Cooper

{"title":"The identification of YouTube videos that feature the linguistic features of English informal speech","authors":"Christopher R. Cooper","doi":"10.1016/j.acorp.2023.100068","DOIUrl":"10.1016/j.acorp.2023.100068","url":null,"abstract":"<div><p>YouTube is becoming an increasingly popular entertainment platform, with videos catering to a wide range of interests. If L2 users are to become proficient in the primary form of language, conversation, then the affordances created by YouTube videos containing informal speech could be very useful. In the current study a near-random corpus of 2602 YouTube video transcripts was compiled and 200 randomly selected texts from the Spoken BNC2014 (Love et al., 2017) were used as a reference corpus representing informal spoken English. The texts were tagged with 67 linguistic features as part of an additive multi-dimensional analysis. The dimension scores for each text were used in a cluster analysis to investigate which texts clustered with the Spoken BNC2014 texts. A two-cluster solution was chosen with 666 YouTube texts and 171 Spoken BNC2014 texts in one cluster, and the remaining texts in the other cluster. A small sample of texts from each cluster was analysed in detail. It is shown that this method has the potential to identify videos featuring informal speech and that some videos with similar categories have a very different linguistic style.</p></div>","PeriodicalId":72254,"journal":{"name":"Applied Corpus Linguistics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42633528","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: 1