From extra- to intratextual characteristics: Charting the space of variation in Czech through MDA

Cvrček, Václav; Komrsková, Zuzana; Lukeš, David; Poukarová, Petra; Řehořková, Anna; Zasina, Adrian Jan

doi:10.1515/cllt-2018-0020

Cited by 8 publications

(6 citation statements)

References 13 publications

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“…831, 835) to confirm the register patterns (e.g., science and technology exposition, general narration, interactive persuasion). MDA has been widely used to analyze a range of register studies, such as corporate annual reports (Ren & Lu, 2021), academic writing between Anglophone and non-Anglophone experts (Omidian et al, 2021), contemporary American television (Sardinha & Pinto, 2021) and the extra- and intratextual characteristics of Czech texts (Cvrček et al, 2021).…”

Section: Resultsmentioning

confidence: 99%

“…Corpus was adopted to perform an empirical bottom-up analysis of linguistic features based on the collection of texts, and the development of empirical register research coexists with that of empirical corpus-based research (Seoane & Biber, 2021). MDA, as the corpus-based method, was widely used in different register studies, such as Czech texts (Cvrcˇek et al, 2021) and television programs (Sardinha & Pinto, 2021). Moreover, MDA was also used in some newburgeoning online registers, such as internet texts (Sardinha, 2018), blogs (Shakir & Deuber, 2018), and Twitter (Bohmann, 2020).…”

Section: Emerging Trends In the Area Of Register Studiesmentioning

confidence: 99%

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Mapping the Field of Register Studies: A Bibliometric Analysis

Sun,

Wang

2023

Sage Open

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This paper provides a diachronic and bibliometric overview of register studies in the past decade. A total of 545 articles were selected from the field of linguistics of the database of Web of Science Core Collection for the analysis. For bibliometric analysis, CiteSpace and VOSViewer were used in order to reveal the co-citation analysis, the high-frequency keywords, keyword clusters, and the timeline of the keyword network in register studies. The results are summarized as follows. First, register studies have been gaining considerable academic attention in the examined years. Second, the major theoretical origins of register studies were text linguistics, systemic functional linguistics, and sociolinguistics. Third, corpus analysis and discourse analysis are the main research methods, followed by genre analysis, and conversation analysis. Fourth, important research themes were extracted and classified based on the following dimensions of register studies, namely, linguistic features, register types, register variations and pragmatic function. Furthermore, Teaching and education was an important dimension in register studies. Fifth, the recent research tended to focus on the register variations caused by the audiences, and corpus analysis and discourse analysis were widely used for broad analyses in different register studies. This bibliometric analysis also shows that online registers have become the research hotspot.

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Section: Resultsmentioning

confidence: 99%

Section: Emerging Trends In the Area Of Register Studiesmentioning

confidence: 99%

Mapping the Field of Register Studies: A Bibliometric Analysis

Sun,

Wang

2023

Sage Open

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“…Text categories grouped at this pole are various narrative novels, private correspondence, or web forums (Cvrček et al 2020). They have narrative and reflective characteristics; verbs of thinking are common in web forums and correspondence (Cvrček et al 2021). The preparedness of the text does not seem to play a role, while subjectivity and interactivity seem connected to the positive pole.…”

Section: Introductionmentioning

confidence: 99%

“…Official documents, science papers, encyclopedias, and other official documents dominate it. The objective perspective and text types that appear without interaction seem to be associated with this pole (Cvrček et al 2021). Based on the description of the poles of the first dimension, we created two rating scales.…”

Section: Introductionmentioning

confidence: 99%

Register in Czech: Designing an MDA-based experimental study

Marklová,

Buchmüller,

Demian

et al. 2023

LingBaW

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There are no conventionalized ways to investigate the results of multidimensional analysis (MDA) from the perceptual perspective in an experimental setting. An MDA of the Czech corpus Koditex by Cvrček et al. (2020) established eight dimensions of variation based on 122 linguistic features. The first two dimensions, which explain the largest proportion of shared variance, are labeled as 1. dynamic (+)/static (-) and 2. spontaneous (+)/prepared (-). In our study, we investigated if some situational contexts of language use evoke stronger associations with the poles of the two dimensions than others. Furthermore, we aimed to explore the impact of the mode of language use and the properties of the interlocutor on the ratings. Czech native speakers (n=107) rated various situational contexts on 7-point Likert-like scales representing the MDA-based dimensions. The items were balanced in the formality of the interlocutor’s name (Mr. or Mrs. in connection to surname/first name), the interlocutor´s gender, and the mode of language use (spoken/written). The statistical analysis uncovered a significant effect of the formality of the interlocutor's name and the mode of language use on the ratings. Using first names and spoken mode resulted in ratings closer to the positive poles of the dimensions. The comparison of individual items showed that some situations, mainly those representing the negative poles of the dimensions, are rated more consistently than others. The results of our study offer insight into how native speakers evaluate situations of language use on the scales of preparedness, subjectivity, and interactivity.

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“…Depending on the text type, some chunks had to be synthesized from multiple smaller length texts while others were taken from larger texts. This was done in order to control for possible biases introduced by text length in multidimensional analysis, which was the primary purpose of the corpus (Cvrček, 2021). Only 9% of all Koditex texts represent spoken Czech, with 2.6% representing informal unprepared private dialogue.…”

Section: Written Corporamentioning

confidence: 99%

Is there a core general vocabulary for Czech? Introducing the Czech General Service List

Challis

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The current study presents the Czech General Service List (CGSL), which was designed to capture the core vocabulary of written and spoken Czech which is useful to Czech as a second language learners (CSLLs). The CGSL is a result of robust comparison of five Czech language corpora (SYN2020, csTenTen17, Koditex, ORALv1, and ORTOFONv2) containing over 12 billion running words. These five corpora represent a variety of corpus sizes, designs, and text types of both written and spoken Czech. This study investigates the overlap between the top 10,000 words in these corpora based on their normalized average reduced frequency (ARFn), which is a measure that takes into consideration both frequency and dispersion. This study also investigates the overlap and rank correlation between words from the written and spoken corpora, respectively. Significant differences were found between words used in written and spoken Czech, so the CGSL was built to contain three types of words: 1) core words of Czech, 2) core words of written Czech, and 3) core words of spoken Czech. Finally, this study compared the words on the CGSL to words on pedagogical wordlists from Czech textbooks designed for L1 English speaking CSLLs and found there to be significant differences between the two. This suggests that future CSL materials informed by the CGSL might have a different effect on Czech learning than the currently existing CSL materials. CHAPTER 1. INTRODUCTIONCzech is an important world language which presents unique challenges for learners who speak English as a first language (L1), including the acquisition of new vocabulary. This study opens a scholarly discussion about how corpus-based methods and data can help Czech as a second language learners (CSLLs) to prioritize core vocabulary items from written and spoken Czech. The theories, questions, and methodologies used in this study are also applicable to other less-commonly taught languages which currently lack corpus-based pedagogical materials and approaches to learning.According to Nation, a leading scholar on second language (L2) vocabulary research and a major contributor to the literature on this topic (Coxhead, 2010), the first goal of L2 vocabulary learning should be to know which vocabulary is useful for learners (Nation, 2013). Recent pedagogically motivated vocabulary research connects usefulness for learners with frequency information as opposed to native speaker intuition (Alderson, 2007;Gardner & Davies, 2014;Garnier & Schmitt, 2015;Lei & Liu, 2016). Receptive and productive knowledge of L2 words correlate with word frequency, and frequent words are encountered and used more often by learners (Ellis, 2014;Garnier & Schmitt, 2015).Brezina and Gablasova (2015) agree that while "word frequency alone is not a reliable measure for selecting words important for learners" (p. 3), it is possible to quantify a word's importance for learners by measuring its frequency, dispersion within a corpus, and dispersion across multiple large language corpora representing a variety of situational ...

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From extra- to intratextual characteristics: Charting the space of variation in Czech through MDA

Cited by 8 publications

References 13 publications

Mapping the Field of Register Studies: A Bibliometric Analysis

Mapping the Field of Register Studies: A Bibliometric Analysis

Register in Czech: Designing an MDA-based experimental study

Is there a core general vocabulary for Czech? Introducing the Czech General Service List

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