Applied Corpus Linguistics最新文献_第6页

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":"3 3","pages":"Article 100072"},"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":"3 3","pages":"Article 100070"},"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":"3 3","pages":"Article 100068"},"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

Review of McEnery and Brezina (2022) Fundamental Principles of Corpus Linguistics 回顾McEnery和Brezina(2022)语料库语言学的基本原则

Applied Corpus Linguistics Pub Date : 2023-08-01 DOI: 10.1016/j.acorp.2023.100055

Rickey Lu

引用次数: 0

Corpus to curriculum: Developing word lists for adult learners of Welsh 语料库到课程：为成人威尔士语学习者开发单词表

Applied Corpus Linguistics Pub Date : 2023-08-01 DOI: 10.1016/j.acorp.2023.100052

Dawn Knight , Tess Fitzpatrick , Steve Morris , Bethan Tovey-Walsh , Helen Prosser , Emyr Davies

{"title":"Corpus to curriculum: Developing word lists for adult learners of Welsh","authors":"Dawn Knight , Tess Fitzpatrick , Steve Morris , Bethan Tovey-Walsh , Helen Prosser , Emyr Davies","doi":"10.1016/j.acorp.2023.100052","DOIUrl":"https://doi.org/10.1016/j.acorp.2023.100052","url":null,"abstract":"<div><p>The launch of a language's first comprehensive general corpus promises a sea-change in teaching and learning resources. Effective transition from corpus to classroom is not necessarily straightforward, though; expert and end-user input is essential for the potential of the corpus resource to be realised. This paper outlines the process by which fit-for-purpose vocabulary lists were derived from the new National Corpus of Contemporary Welsh (<em>Corpws Cenedlaethol Cymraeg Cyfoes</em> – CorCenCC). The immediate purpose in this case was to inform the revision of A1 and A2 level course materials for adult learners. A longer-term aim was to put in place a method by which vocabulary lists for more advanced level learners and learners of different ages could be extracted and developed from the corpus. The new corpus means that for the first time, the Welsh language curriculum is able to use word frequency information; teaching and assessment materials in major languages have been informed by word frequencies for several decades. Raw frequency lists, though, include troublesome content, and can exclude items with high relevance to learners. This paper demonstrates how, by working in partnership, Welsh language curriculum writers, assessors, language experts and corpus linguists can effectively manipulate corpus data into curriculum content. The methods and approaches reported here are replicable for use in other language contexts.</p></div>","PeriodicalId":72254,"journal":{"name":"Applied Corpus Linguistics","volume":"3 2","pages":"Article 100052"},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49817971","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 interface between specialized translation and institutional translation: A selection of candidate terms validated by Aeronautical Meteorology corpora 专业翻译和机构翻译之间的接口：航空气象语料库验证的候选术语选择

Applied Corpus Linguistics Pub Date : 2023-08-01 DOI: 10.1016/j.acorp.2023.100051

Rafaela Araújo Jordão Rigaud Peixoto

{"title":"The interface between specialized translation and institutional translation: A selection of candidate terms validated by Aeronautical Meteorology corpora","authors":"Rafaela Araújo Jordão Rigaud Peixoto","doi":"10.1016/j.acorp.2023.100051","DOIUrl":"10.1016/j.acorp.2023.100051","url":null,"abstract":"<div><p><span><span>The purpose of this work is to revise and expand an aeronautical meteorology glossary, available at REDEMET, a homepage hosted on the Department of Airspace Control website, taking into consideration corpus data in the field. For that, to best meet the needs of institutions and users, data were compiled from some segments of the Aeronautical Meteorology domain. During the compilation of this corpus, it was noticed that there was a great scarcity of specialized sources of this Aviation subdomain in English and, mainly, in Portuguese, including material by the Department of Airspace Control (DECEA), the only official Brazilian institution with the role of regulating standards relevant to Aeronautical Meteorology. By taking into account that a given government institution is considered an authoritative source concerning terms used in a specialized domain, it would be advisable to align professional and academic expertise, and institutional interests. Therefore, based on contributions of corpus linguistics theories, terminology, and institutional translation, this work relied on established parameters for the compilation and processing of information for inclusion in the corpus, and focused, in this first stage, on the selection of candidate terms, according to </span>corpus analysis. The first results showed that institutional and academic segments present some subtleties regarding terminology, as, on the one hand, some words are more specific to the academic register and, on the other hand, there are different uses of terms in the institutional setting, by </span>ICAO, WMO, or FAA.</p></div>","PeriodicalId":72254,"journal":{"name":"Applied Corpus Linguistics","volume":"3 2","pages":"Article 100051"},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48255097","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

“I will say the picture of the background is not related to the words”: using corpus linguistics and focus groups to reveal how speakers of English as an additional language perceive the effectiveness of the phraseology and imagery in UK public health tweets during COVID-19 “我要说的是，背景图片与单词无关”：使用语料库语言学和焦点小组来揭示新冠肺炎期间，英语作为一种附加语言的使用者如何感知英国公共卫生推文中的措辞和图像的有效性

Applied Corpus Linguistics Pub Date : 2023-08-01 DOI: 10.1016/j.acorp.2023.100053

Christian Jones, David Oakey, Kay L. O'Halloran

{"title":"“I will say the picture of the background is not related to the words”: using corpus linguistics and focus groups to reveal how speakers of English as an additional language perceive the effectiveness of the phraseology and imagery in UK public health tweets during COVID-19","authors":"Christian Jones, David Oakey, Kay L. O'Halloran","doi":"10.1016/j.acorp.2023.100053","DOIUrl":"https://doi.org/10.1016/j.acorp.2023.100053","url":null,"abstract":"<div><p>This paper reports on an application of a multimodal corpus-based study into the effectiveness of public health information about COVID-19 for speakers of English as an additional language (EAL) in the UK. A corpus of information tweets from 13 UK public health agencies totalling 560,000 words, with concomitant images and videos, was collected between March 2020 and February 2021. The most frequent n-grams occurring across all 13 public health agencies, and sample images occurring alongside these, were identified. In this study, we examine how images and videos combine with the phraseology to shape these COVID-19 public health information messages. Following this, six illustrative tweets were used as prompts for three focus groups of EAL participants based in the UK representing a range of first languages and occupations. Data from the focus groups was analysed in order to identify how common public health phraseology and images were received, understood and responded to by participants and how they felt they could be amended to increase their effectiveness for EAL speakers. We conclude with suggestions for making the language of public health messages simpler and more direct, aligning images more clearly with the language used and removing linguistic ambiguity. These recommendations for how such messaging could be improved in future public health campaigns could ensure a more effective and inclusive public health response.</p></div>","PeriodicalId":72254,"journal":{"name":"Applied Corpus Linguistics","volume":"3 2","pages":"Article 100053"},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49817931","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

Review of Deignan, Candarli, & Oxley (2023). The linguistic challenge of the transition to secondary school: A corpus study of academic language Deignan, Candarli， & Oxley(2023)。向中学过渡的语言挑战:学术语言的语料库研究

Applied Corpus Linguistics Pub Date : 2023-08-01 DOI: 10.1016/j.acorp.2023.100049

Philip Durrant

引用次数: 0

The corpus of United States state statutes—design, construction and use 美国州法规文集——设计、建造和使用

Applied Corpus Linguistics Pub Date : 2023-08-01 DOI: 10.1016/j.acorp.2023.100047

Jesse Egbert, Margaret Wood

引用次数: 0