A Corpus-based Study of Lexis in L2 English Textbooks

Norberg, Cathrine; Nordlund, Marie

doi:10.17507/jltr.0903.03

Cited by 10 publications

(5 citation statements)

References 21 publications

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“…For example, studies of EFL textbooks (e.g. O'Loughlin, 2012; Matsuoka & Hirsh, 2010;Norberg & Nordlund, 2018;Yang & Coxhead, 2020) have shown that with utility and frequency as the primary principles of selection, the vocabulary of EFL textbooks often consists of high-frequency, standard, and formal lexical items: 'words not frequently used in common everyday language' (Norberg & Nordlund, 2018, p. 469). In contrast, stylistic variants specific to email, such as greetings, address forms, and signoffs used in email openings and closings are typically well represented (e.g.…”

Section: Discussionmentioning

confidence: 99%

Salience in EFL speakers’ perceptions of formality: (In)formal greetings and address forms combined with (in)formal nouns, verbs, and adjectives

Lasan

2021

Language Teaching Research

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This study explores whether English-dominant (ED) speakers and speakers of English as a foreign language (EFL) perceive the same degrees of formality in combinations of (in)formal greetings (Hi/Dear) and address forms (informal First Name/Ms. Last Name) with (in)formal nouns, verbs, and adjectives (Latinate/Germanic). It also explores which of these variants the two groups perceive as salient in communicating formality. Twenty-five ED undergraduates in Canada and 27 EFL undergraduates in Slovakia rated the formality of 20 sentence-length examples of business email correspondence and identified features that were the primary basis for their formality rating. Distributions of 11 of the formality ratings were statistically significantly different in the two groups (with most effect sizes ranging from small to medium), and trends in the reports of salient features suggested that the EFL speakers focused on the formality of address forms more frequently than did the ED speakers. The findings are discussed in relation to infelicitous interlingual transfer and strategies for developing pragmatic competence.

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Section: Discussionmentioning

confidence: 99%

Salience in EFL speakers’ perceptions of formality: (In)formal greetings and address forms combined with (in)formal nouns, verbs, and adjectives

Lasan

2021

Language Teaching Research

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“…In a good virtual reality environment, users' creative catalysis and knowledge construction can be deepened [16]. In the virtual space composed of VR technology, users can broaden their cognitive range, absorb the necessary knowledge based on their own cognitive abilities and feelings, and diverge and broaden their thinking [17]. The application of VR technology in education mainly aims to improve the quality of classroom teaching, strengthen students' learning motivation; and it can cultivate self-directed learning habits while changing traditional learning methods.…”

Section: Teaching Esl Vocabulary Corpus Based On Vr Technologymentioning

confidence: 99%

Building a data-driven teaching platform for ESL vocabulary corpus in universities based on VR technology

Cheng

2024

Int. J. Simul. Multidisci. Des. Optim.

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With the rapid development of information technology, the application of VR to English language teaching has gradually become an emerging trend. As the driving force of English learning, the establishment of ESL vocabulary corpus is of great significance for making great progress in teaching in colleges and universities. By analyzing the characteristics of VR technology, the study establishes a data-driven teaching platform for ESL vocabulary corpus in colleges and universities based on this technology. Then, based on the improved graph neural network, the text classification of the ESL vocabulary corpus was carried out to achieve the integration of ESL vocabulary corpus resources. The results show that the improved graph neural network vocabulary text classification model converges at 145 iterations, and the convergence speed is improved by up to 100 generations; Among different datasets, the recognition accuracy of the SADE-GNN model on the MR, R8, SST1, and SUBJ datasets is 90%, 99%, 63%, and 96%, respectively. In the recognition and classification of ESL vocabulary corpora in universities, the accuracy of this model is stable at around 95%, with a maximum value of 97%. In practical teaching applications, students' English listening, reading, writing, and speaking scores have all increased to varying degrees, with the top 50% of students achieving 95 or above in both reading and speaking. The above results indicate that the teaching platform under the research model has high accuracy in text classification, can significantly improve the effectiveness of English teaching, providing new reference ideas for the construction of ESL vocabulary corpus and teaching method reform in universities.

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“…Highfrequency vocabulary deserves instructors' attention and direct teaching. Norberg and Nordlund (2018) analyzed words in textbooks in Swedish schools using corpus tools. The results show that many words in the textbooks rarely appear in common everyday language.…”

Section: Introductionmentioning

confidence: 99%

Google Books Corpus and designing English for specific purposes materials

Alhamami¹

2022

J. Eng. Foreign. Lang.

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Designing language-learning materials that target the needs of specific groups of students can be a challenge because students' needs vary. There is a research gap in identifying learning materials that meet the needs of a specific group of students. The study objective is to utilize open educational resources to design English for specific purposes (ESP) materials. The study implements a corpus linguistics method by using the Google Books Corpus (GBC) to develop language-learning materials for engineering students. The application analyzed the corpora by frequency that was the default analysis procedure in GBC. The findings show the procedures to create English grammar materials for engineering students and engineers who need to improve their knowledge about the commonly used grammar structures in engineering texts. The results of analyzing GBC present five chapters: nouns, verbs, adjectives, adverbs, and prepositions that are commonly used in engineering texts using authentic examples. The findings demonstrate the importance of corpus technologies such as GBC in language learning classrooms. The implication is that language educators should utilize open educational resources such as GBC to provide students with learning materials that have authentic examples, commonly used words, and widely used grammar structures in the students' academic majors.

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A Corpus-based Study of Lexis in L2 English Textbooks

Cited by 10 publications

References 21 publications

Salience in EFL speakers’ perceptions of formality: (In)formal greetings and address forms combined with (in)formal nouns, verbs, and adjectives

Salience in EFL speakers’ perceptions of formality: (In)formal greetings and address forms combined with (in)formal nouns, verbs, and adjectives

Building a data-driven teaching platform for ESL vocabulary corpus in universities based on VR technology

Google Books Corpus and designing English for specific purposes materials

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