Research in Corpus Linguistics <p style="text-align: justify;"><em><strong>Research in Corpus Linguistics</strong></em> (<em>RiCL</em>, ISSN 2243-4712) is a scholarly peer-reviewed international scientific journal aiming at the publication of contributions which contain empirical analyses of data from different languages and from different theoretical perspectives and frameworks, with the goal of improving our knowledge about the linguistic theoretical background of a language, a language family or any type of cross-linguistic phenomena/constructions/assumptions. <em>RiCL</em> invites original, previously unpublished research articles, reports on corpus development, and book reviews in the field of Corpus Linguistics. The journal also considers the publication of special issues on specific topics, whose edition can be offered to leading scholars in the field.</p> en-US <p><a href="" target="_blank" rel="noopener">Copyright notice</a></p> (Research in Corpus Linguistics) (Research in Corpus Linguistics) Tue, 31 May 2022 09:21:47 +0000 OJS 60 Evaluative stance in Vietnamese and English writing by the same authors: A corpus-informed appraisal study <p><em>Appraisal</em> theory (Martin and White 2005), an approach to discourse analysis dealing with evaluative language, has been previously employed in analysing newspaper articles and spoken discourses in several earlier studies, although it is gaining in popularity as a framework for comparing first and second (L1/L2) writing. This study investigated 40 English majors’ Vietnamese and English paragraphs for evaluative language, a key component of successful academic writing, as realised under <em>Appraisal </em>theory. To this purpose, we collected L1 Vietnamese and L2 English data from the same student writers across the same topics and using a corpus-informed Contrastive Interlanguage Analysis approach to the annotation and analysis of <em>appraisal</em>. A range of commonalities were present in the use of <em>appraisal</em> across the two language varieties, while the results also suggest significant differences between students’ evaluative expressions in Vietnamese as a mother tongue and English as a second or foreign language. This variation includes the comparative under- and over-use of specific <em>appraisal</em> resources employed in L1 and L2 writing respectively, in particular, regarding writers’ employment of attitudinal features. The findings serve to inform future pedagogical applications regarding explicit instruction in stance and <em>appraisal </em>features for novice L2 English writers in Vietnam.</p> Tieu-Thuy Chung, Luyen-Thi Bui, Peter Crosthwaite Copyright (c) 2022 Research in Corpus Linguistics Fri, 22 Jan 2021 00:00:00 +0000 The Process Corpus of English in Education: Going beyond the written text <p>The <em>Process Corpus of English in Education</em> (PROCEED) is a learner corpus of English which, in addition to written texts, consists of data that make the writing process visible in the form of keystroke log files and screencast videos. It comes with rich metadata about each learner, among which indices of exposure to the target language and cognitive measures such as working memory or fluid intelligence. It also includes an L1 component which is made up of similar data produced by the learners in their mother tongue. PROCEED opens new perspectives in the study of learner writing, by going beyond the written product. It makes it possible to investigate aspects such as writing fluency, use of online resources, cognitive phenomena like automaticity and avoidance, or theoretical modelling of the writing process. It also has applications for teaching, e.g. by showing students screencast video clips from the corpus illustrating effective writing strategies, as well as for testing, e.g. by establishing a corpus-derived standard of writing fluency for learners at a certain proficiency level.</p> Gaëtanelle Gilquin Copyright (c) 2021 Research in Corpus Linguistics Sun, 18 Apr 2021 16:10:12 +0000 The compilation of a developmental spoken English corpus of Turkish EFL learners <p>Although compiling a spoken learner corpus is not a recent enterprise, the number of developmental learner spoken corpora in the field of corpus linguistics is not satisfactory. This report describes the compilation of the<em> Yeditepe Spoken Corpus of Learner English </em>(YESCOLE)<em>, </em>a 119,787-word corpus of Turkish students’ spoken English at tertiary level. YESCOLE was compiled to generate a developmental corpus of spoken interlanguage by collecting samples from learners of different English proficiency levels at regular short intervals over seven months. In order to shed light on the laborious methodology of compiling the developmental spoken learner corpus, this paper elucidates the steps taken to build YESCOLE and discusses its potential benefits for research and instructional purposes.</p> Ece Genç-Yöntem, Evrim Eveyik-Aydın Copyright (c) 2021 Research in Corpus Linguistics Tue, 22 Jun 2021 17:15:55 +0000 How is information content distributed in RA introductions across disciplines? An entropy-based approach <p class="JLLS-Abstract-text" style="text-indent: 0cm; line-height: normal; tab-stops: 10.5pt 1.0cm 39.7pt 72.0pt; margin: 0cm 0cm 0cm 1.0cm;"><span lang="EN-US">Recent years have witnessed a growing interest in research article (RA thereafter) introductions. Most previous studies focused on the macro structures, rhetorical functions and linguistic realizations of RA introductions, but few intended to investigate the information content distribution from the perspective of information theory. The current study conducted an entropy-based study on the distributional patterns of information content in RA introductions and their variations across disciplines (humanities, natural sciences, and social sciences). Three indices, that is, one-, two-, and three-gram entropies, were used to analyze 120 RA introductions (40 introductions from each disciplinary area). The results reveal that, first, in RA introductions, the information content is unevenly distributed, with the information content of Move 1 being the highest, followed in sequence by Move 3 and Move 2; second, the three entropy indices may reflect different linguistic features of RA introductions; and, third, disciplinary variations of information content were found. In Move 1, the RA introductions of natural sciences are more informative than those of the other two disciplines, and in Move 3 the RA introductions of social sciences are more informative as well. This study has implications for genre-based instruction in the pedagogy of academic writing, as well as the broadening of the applications of quantitative corpus linguistic methods into less touched fields.</span></p> Wei Xiao, Jin Liu, Li Li Copyright (c) 2022 Research in Corpus Linguistics Tue, 11 Jan 2022 17:27:18 +0000 Libya, the media and the language of violence: A Corpus-Assisted Discourse Analysis <p>The Arab revolution euphoria of 2011 was covered around the clock by different media sites, engaging millions of followers around the world, and eventually turning into discontent in some affected countries. This study examines the outcomes of the Libyan uprising (2011–2015), specifically the topics of civil-war and terrorism, through the lenses of the Arab written media in Arabic (<em>Al Jazeera</em> and <em>Al Arabiya</em>), the Arab written media in English (<em>Al Jazeera</em> and <em>Al Arabiya</em>), and the Western written media in English (BBC and CNN). Through Corpus-Assisted Discourse Analysis (CADS), integrating discursive news values analysis (DNVA), this study highlights the ideological representations of these media, and examines their similarities and differences in terms of frequency distribution and story content. The findings indicate that the media coverage of the outcomes of the Libyan Revolution, when reporting on the topics of war and terrorism, follow similar directions in the story content and the frequency distribution, with some differences in the latter between the analysed media sites. Also, the collocations, concordances, and DNVA results, especially Negativity, Impact and Eliteness, prove the emphasis of the media on violent language, making terrorism appear the norm, and thus manipulating the audience and affecting their understanding of the news.</p> Safa Attia Copyright (c) 2022 Research in Corpus Linguistics Sat, 08 Jan 2022 15:15:06 +0000 The FGLOCTweet Corpus: An English tweet-based corpus for fine-grained location-detection tasks <p>Location detection in social-media microtexts is an important natural language processing task for emergency-based contexts where locative references are identified in text data. Spatial information obtained from texts is essential to understand where an incident happened, where people are in need of help and/or which areas have been affected. This information contributes to raising emergency situation awareness, which is then passed on to emergency responders and competent authorities to act as quickly as possible. Annotated text data are necessary for building and evaluating location-detection systems. The problem is that available corpora of tweets for location-detection tasks are either lacking or, at best, annotated with coarse-grained location types (e.g. cities, towns, countries, some buildings, etc.). To bridge this gap, we present our semi-automatically annotated corpus, the <em>Fine-Grained LOCation Tweet Corpus</em> (FGLOCTweet Corpus), an English tweet-based corpus for fine-grained location-detection tasks, including fine-grained locative references (i.e. geopolitical entities, natural landforms, points of interest and traffic ways) together with their surrounding locative markers (i.e. direction, distance, movement or time). It includes annotated tweet data for training and evaluation purposes, which can be used to advance research in location detection, as well as in the study of the linguistic representation of place or of the microtext genre of social media.</p> Nicolás José Fernández-Martínez Copyright (c) 2022 Research in Corpus Linguistics Tue, 11 Jan 2022 16:35:05 +0000 A corpus study of the term evidence in open peer reviews to research articles in the British Medical Journal <p>The linguistic study of peer-review discourse has focused principally on pre-publication occluded referee reports. However, there are few studies on post-publication open peer reviews of research articles. To address this imbalance, we analyse a type of open peer review, Online Rapid Responses (ORRs) to articles, in the <em>British Medical Journal</em> (BMJ), which is the leading medical e-journal. Using a corpus-based approach, we focus on the term <em>evidence</em> owing to its importance in scientific discourse. We compiled an <em>ad-hoc</em> corpus of 875 ORRs (260,651 tokens) and analysed it using <em>Wordsmith Tools 6</em> to ascertain the frequency of <em>evidence</em>. We then compared its frequency in our corpus with the <em>British National Corpus </em>(BNC), the <em>Corpus of Contemporary American English </em>(COCA), the COCA academic subcorpus, the <em>Cambridge Academic English Corpus</em> (CAEC) and the sub-corpus of reviews in the <em>Lancaster-Oslo-Bergen Corpus </em>(LOB-C). We also performed a keyness analysis of our corpora to ascertain the position of <em>evidence</em> and obtained the contexts in which it appears. Our analysis reveals that <em>evidence</em> is more frequent in our corpus of ORRs than in general and academic corpora, which highlights its importance in the evaluation of research. Our exploration of its contexts of use show that it reflects the concern of the medical academy for evidence appraisal in state-of-the art medicine.</p> Ingrid García-Ostbye, Barry Pennock-Speck Copyright (c) 2022 Research in Corpus Linguistics Thu, 10 Mar 2022 08:00:42 +0000 Preterit-imperfect acquisition in L2 Spanish writing: Moving beyond lexical aspect <p>While research on second language (L2) tense-aspect acquisition has flourished, most studies have focused on lexical aspect as an explanatory variable (Bardovi-Harlig and Comajoan-Colomé 2020). However, the role of the features of first language (L1) production in L2 Spanish preterit-imperfect acquisition has never been tested before. Prior research has found that the frequency and distinctiveness of verb forms in corpora of L1 English production predict L2 English learners’ tense-aspect production (Wulff <em>et al.</em> 2009). The present study aims to replicate these findings and test the predictions of hypotheses of L2 tense-aspect acquisition in another group of learners: English-dominant, instructed Spanish learners. Analyses were performed on longitudinal data from the <em>Corpus of Written Spanish of L2 and Heritage Speakers</em> (COWS-L2H; Yamada <em>et al.</em> 2020) and cross-sectional data from the <em>Corpus Escrito del Español L2</em> (CEDEL2; Lozano 2021). Results indicate that L1 verb frequency and distinctiveness predict learners’ emergent use of the preterit and the imperfect.</p> Sophia Minnillo, Claudia Sánchez-Gutiérrez, Agustina Carando, Samuel Davidson, Paloma Fernández Mira, Kenji Sagae Copyright (c) 2022 Research in Corpus Linguistics Sat, 14 May 2022 10:02:34 +0000 Review of Pérez-Paredes, Pascual. 2021. Corpus Linguistics for Education: A Guide for Research. London: Routledge. Barry Pennock-Speck Copyright (c) 2022 Research in Corpus Linguistics Sat, 14 May 2022 09:55:48 +0000 Review of Bouso, Tamara. 2021. Changes in Argument Structure: The Transitivizing Reaction Object Construction. Bern: Peter Lang. Sune Gregersen Copyright (c) 2022 Research in Corpus Linguistics Sat, 14 May 2022 09:45:58 +0000 Review of "All Families and Genera” Exploring the Corpus of Engish Life Sciences Texts. Amsterdam: John Benjamins. Stephania Degaetano-Ortlieb Copyright (c) 2022 Research in Corpus Linguistics Sat, 14 May 2022 09:46:35 +0000 Review of Castro-Chao, Noelia. 2021. Argument Structure in Flux: The Development of Impersonal Constructions in Middle and Early Modern English, with Special Reference to Verbs of Desire. Bern: Peter Lang. Ayumi Miura Copyright (c) 2022 Research in Corpus Linguistics Sat, 14 May 2022 09:55:09 +0000 Review of Wallis, Sean. 2020. Statistics in Corpus Linguistics: A New Approach. London: Routledge. Tove Larsson Copyright (c) 2022 Research in Corpus Linguistics Sat, 14 May 2022 09:59:57 +0000