4,589 research outputs found

    Annotating arguments in a corpus of opinion articles

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    Interest in argument mining has resulted in an increasing number of argument annotated corpora. However, most focus on English texts with explicit argumentative discourse markers, such as persuasive essays or legal documents. Conversely, we report on the first extensive and consolidated Portuguese argument annotation project focused on opinion articles. We briefly describe the annotation guidelines based on a multi-layered process and analyze the manual annotations produced, highlighting the main challenges of this textual genre. We then conduct a comprehensive inter-annotator agreement analysis, including argumentative discourse units, their classes and relations, and resulting graphs. This analysis reveals that each of these aspects tackles very different kinds of challenges. We observe differences in annotator profiles, motivating our aim of producing a non-aggregated corpus containing the insights of every annotator. We note that the interpretation and identification of token-level arguments is challenging; nevertheless, tasks that focus on higher-level components of the argument structure can obtain considerable agreement. We lay down perspectives on corpus usage, exploiting its multi-faceted nature

    Parsimonious Argument Annotations for Hate Speech Counter-narratives

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    We present an enrichment of the Hateval corpus of hate speech tweets (Basile et. al 2019) aimed to facilitate automated counter-narrative generation. Comparably to previous work (Chung et. al. 2019), manually written counter-narratives are associated to tweets. However, this information alone seems insufficient to obtain satisfactory language models for counter-narrative generation. That is why we have also annotated tweets with argumentative information based on Wagemanns (2016), that we believe can help in building convincing and effective counter-narratives for hate speech against particular groups. We discuss adequacies and difficulties of this annotation process and present several baselines for automatic detection of the annotated elements. Preliminary results show that automatic annotators perform close to human annotators to detect some aspects of argumentation, while others only reach low or moderate level of inter-annotator agreement

    Explainable Argument Mining

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    Malaysian learnersโ€™ argumentative writing in English: A contrastive, corpus-driven study

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    Research on learner English is by now an established sub-discipline in corpus linguistics, yet few studies exist on Malaysian learners. This thesis explores the difficulties that Malaysian learners of English face when producing argumentative essays, focussing on their overuse of particular linguistic features. WordSmith Tools (Scott, 2012) is used to analyse and compare two corpora: The Malaysian Corpus of Studentsโ€™ Argumentative Writing (MCSAW): Version 2, consisting of 1,460 Malaysian studentsโ€™ argumentative essays; and the Louvain Corpus of Native English Essays (LOCNESS), which is a corpus of native English essays written by British and American students and is used as a reference language variety here. The software enables analysis of keywords (words that are over-used in MCSCAW), collocates or surrounding words of the keywords, and concordances, which are used to examine the keywords in context. Crucially, it also allows examination of the โ€˜rangeโ€™ of linguistic features (i.e. by how many students a feature is employed) โ€“ an under-used but crucial affordance of this software programme that is exploited in this thesis for down-sampling purposes. The thesis combines quantitative and qualitative corpus linguistic techniques, with keywords providing the starting point for in-depth qualitative analysis using concordancing. This corpus-driven analysis of MCSAW identifies typical features of the writing style of Malaysian learnersโ€™ writing of English, particularly the overuse of can and we (including the highly frequent bundle we can), and the lack of discourse-organising markers. Analysis of key words and key bundles is complemented with collocation analysis and concordancing of the highly frequent modal verb can as well as the highly frequent first person plural pronoun we, which both have a high range across the corpus. The concordances are carefully and systematically examined to explore the ways in which these over-used linguistic items are actually employed in their co-text by the Malaysian writers. While results show some similarities in both learner corpus and reference language variety, Malaysian learners tend to demonstrate higher writer visibility overall. One possible explanation lies in the influence of the national language (Malay). The thesis also identifies repeated sentences that occur in more than one essay, which implies either plagiarism on the learnersโ€™ part or a particular teaching strategy (templates or phrases that are provided to students). This finding has significant implications for corpus design (in terms of the need for more topic variation) as well as methodological significance (in terms of the advantages and disadvantages of using the โ€˜rangeโ€™ feature for down-sampling), which are also discussed in this thesis. In sum, this thesis makes a new contribution to corpus linguistic research on learner English and will have implications for the development of teaching practices for Malaysian learners of English

    Analyses and Comparisons of Three Lexical Features in Native and Nonnative Academic English Writing

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    Built upon the Contrastive Interlanguage Analysis (CIA) framework, this corpus-based research analyzes three lexical features (lexical diversity, lexical sophistication, and cohesion) in native and nonnative English writers\u27 academic writing and examines the potential differences in lexical performance 1) between native and nonnative English writers and 2) across all writers from various language backgrounds. The differences in lexical performance in academic writing between native and nonnative English writers and the unique characteristics of writers from different language backgrounds suggest the necessity of targeted academic writing instruction based upon learner needs. Using text length as the covariate, two Multivariate Analysis of Covariate (MANCOVA) were conducted with language background as the Independent Variable and the three lexical features as the Dependent Variables. The results revealed that nonnative English writers demonstrated significantly lower performance in lexical sophistication than did native English writers. In terms of the comparison between writers from different language backgrounds, the results suggested statistically significant differences in all three aspects of lexical features. Pedagogical implications for vocabulary instruction in academic writing for nonnative English writers include emphasizing the mastery of academic, low-frequency, and discipline-specific vocabulary. In addition, improving nonnative writers\u27 vocabulary size and lexical diversity can offer these learners more options to build cohesion in academic writing at a deeper level. Moreover, the results of this study highlight the wide but often under-considered variability within any language group as individual learner differences come into play, thereby downplaying the idea that writers of any given language tend to perform homogenously. Instructors should acknowledge the unique writing characteristics of different nonnative writers and their varied learner needs. Thus, targeted instruction is essential to provide effective enhancement to nonnative English writers\u27 lexical performance in academic writing

    Argumentation models and their use in corpus annotation: practice, prospects, and challenges

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    The study of argumentation is transversal to several research domains, from philosophy to linguistics, from the law to computer science and artificial intelligence. In discourse analysis, several distinct models have been proposed to harness argumentation, each with a different focus or aim. To analyze the use of argumentation in natural language, several corpora annotation efforts have been carried out, with a more or less explicit grounding on one of such theoretical argumentation models. In fact, given the recent growing interest in argument mining applications, argument-annotated corpora are crucial to train machine learning models in a supervised way. However, the proliferation of such corpora has led to a wide disparity in the granularity of the argument annotations employed. In this paper, we review the most relevant theoretical argumentation models, after which we survey argument annotation projects closely following those theoretical models. We also highlight the main simplifications that are often introduced in practice. Furthermore, we glimpse other annotation efforts that are not so theoretically grounded but instead follow a shallower approach. It turns out that most argument annotation projects make their own assumptions and simplifications, both in terms of the textual genre they focus on and in terms of adapting the adopted theoretical argumentation model for their own agenda. Issues of compatibility among argument-annotated corpora are discussed by looking at the problem from a syntactical, semantic, and practical perspective. Finally, we discuss current and prospective applications of models that take advantage of argument-annotated corpora

    Towards an authentic argumentation literacy test

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    A central goal of education is to improve argumentation literacy. How do we know how well this goal is achieved? Can we measure argumentation literacy? The present study is a preliminary step towards measuring the efficacy of education with regards to argumentation literacy. Tests currently in use to determine critical thinking skills are often similar to IQ-tests in that they predominantly measure logical and mathematical abilities. Thus, they may not measure the various other skills required in understanding authentic argumentation. To identify the elements of argumentation literacy, this exploratory study begins by surveying introductory textbooks within argumentation theory, critical thinking, and rhetoric. Eight main abilities have been identified. Then, the study outlines an Argumentation Literacy Test that would comprise these abilities suggested by the literature. Finally, the study presents results from a pilot of a version of such a test and discusses needs for further development

    ํ•œ๊ตญ ๋Œ€ํ•™์ƒ๋“ค์˜ ๋…ผ์ฆ์  ์—์„ธ์ด์— ๋‚˜ํƒ€๋‚œ ์ ˆ๊ณผ ๊ตฌ ๋ณต์žก์„ฑ์˜ ๋ฐœ๋‹ฌ

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ์‚ฌ๋ฒ”๋Œ€ํ•™ ์™ธ๊ตญ์–ด๊ต์œก๊ณผ(์˜์–ด์ „๊ณต), 2023. 2. ์˜ค์„ ์˜.์˜์–ด ๊ธ€์“ฐ๊ธฐ ๋ฐœ๋‹ฌ์— ๊ด€ํ•œ ์—ฐ๊ตฌ๋“ค์€ ๋ฌธ๋ฒ•์  ๋ณต์žก์„ฑ(grammatical complexity)์„ ํ•™์Šต์ž์˜ ๋Šฅ์ˆ™๋„๋ฅผ ๊ตฌ๋ณ„ํ•˜๋Š” ์ค‘์š”ํ•œ ์ง€ํ‘œ๋กœ ์ธ์‹ํ•˜๊ณ  ์žˆ๋‹ค. ์ดˆ๊ธฐ ์—ฐ๊ตฌ๋“ค์€ ์ฃผ๋กœ ์ ˆ ๋ณต์žก์„ฑ(clausal complexity)์— ๊ธฐ๋ฐ˜ํ•ด ๋ฌธ๋ฒ•์  ๋ณต์žก์„ฑ์„ ์ธก์ •ํ•˜์˜€์ง€๋งŒ, ์ตœ๊ทผ ์—ฐ๊ตฌ๋“ค์€ ๊ตฌ ๋ณต์žก์„ฑ(phrasal complexity)์— ์ดˆ์ ์„ ๋‘๊ณ  ์žˆ๋‹ค. ์ด๋Ÿฌํ•œ ๋ณ€ํ™”๋Š” ์ ˆ ๋ณต์žก์„ฑ์ด ์ผ์ƒ ๋Œ€ํ™”๊ฐ€ ๊ฐ€์ง„ ํŠน์ง•์œผ๋กœ ๊ธ€์“ฐ๊ธฐ์˜ ์ดˆ๊ธฐ ๋ฐœ๋‹ฌ ๋‹จ๊ณ„๋ฅผ ๋‚˜ํƒ€๋‚ด๋Š” ๋ฐ˜๋ฉด, ๊ตฌ ๋ณต์žก์„ฑ, ํŠนํžˆ ๋ช…์‚ฌ๊ตฌ์˜ ๋ณต์žก์„ฑ์€ ํ•™๋ฌธ์  ๊ธ€(academic writing)์ด ๊ฐ€์ง„ ๋ณต์žก์„ฑ์˜ ์ „ํ˜•์œผ๋กœ์จ ๋†’์€ ์ˆ˜์ค€์˜ ๋ฐœ๋‹ฌ ๋‹จ๊ณ„๋ฅผ ๋‚˜ํƒ€๋‚ธ๋‹ค๋Š” ์ธ์‹์— ๊ธฐ๋ฐ˜ํ•˜๊ณ  ์žˆ๋‹ค. ํ•˜์ง€๋งŒ ์ผ๋ถ€ ์—ฐ๊ตฌ๋“ค์€ ๋ช…์‚ฌ๊ตฌ์˜ ๋ณต์žก์„ฑ์ด ๊ธ€์“ฐ๊ธฐ ๋Šฅ์ˆ™๋„์™€ ํฐ ๊ด€๋ จ์ด ์—†๋‹ค๋Š” ์ƒ๋ฐ˜๋œ ๊ฒฐ๊ณผ๋ฅผ ๋ณด์ด๊ณ  ์žˆ๋Š”๋ฐ, ์ด๋Š” ๋Œ€๋ถ€๋ถ„์˜ ์—ฐ๊ตฌ๋“ค์ด ํ•™์Šต์ž ๋ชจ๊ตญ์–ด๊ฐ€ ๋ฌธ๋ฒ•์  ๋ณต์žก์„ฑ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ๊ณ ๋ คํ•˜์ง€ ์•Š๊ณ  ๋‹ค์–‘ํ•œ ๋ชจ๊ตญ์–ด๋ฅผ ๊ฐ€์ง„ ํ•™์Šต์ž๋“ค์— ์˜ํ•ด ๋งŒ๋“ค์–ด์ง„ ์ฝ”ํผ์Šค๋ฅผ ์‚ฌ์šฉํ–ˆ๊ธฐ ๋•Œ๋ฌธ์ผ ์ˆ˜ ์žˆ๋‹ค. ์ด์— ๋ณธ ์—ฐ๊ตฌ๋Š” ํ•œ๊ตญ์ธ ๋Œ€ํ•™์ƒ๋“ค์ด ์ž‘์„ฑํ•œ ๊ธ€์„ ๋ถ„์„ํ•˜์—ฌ ์ ˆ๊ณผ ๊ตฌ์˜ ๋ณต์žก์„ฑ์ด ๊ธ€์“ฐ๊ธฐ ๋Šฅ์ˆ™๋„์™€ ์—ฐ๊ด€์„ฑ์ด ์žˆ๋Š”์ง€ ์‚ดํŽด๋ณด๊ณ , ๊ทธ๋Ÿฌํ•œ ์—ฐ๊ด€์„ฑ์— ํฌ๊ฒŒ ๊ธฐ์—ฌํ•œ ๋ณต์žก์„ฑ ํŠน์ง•๋“ค์„ ๋ฐ”ํƒ•์œผ๋กœ ๋ฌธ๋ฒ•์  ๋ณต์žก์„ฑ์˜ ๋ฐœ๋‹ฌ ํŒจํ„ด์„ ์ถ”์ •ํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค. ๋˜ํ•œ ํ•™์ƒ๋“ค์˜ ๊ธ€์„ ์งˆ์ ์œผ๋กœ ๋ถ„์„ํ•˜์—ฌ, ํŠน์ • ๋ณต์žก์„ฑ ํŠน์ง•์„ ๊ตฌํ˜„ํ•  ๋•Œ ์ž์ฃผ ์“ฐ์ด๋Š” ์–ดํœ˜์™€ ์˜ค๋ฅ˜ ๋นˆ๋„ ๋ฐ ์œ ํ˜•์„ ํŒŒ์•…ํ•จ์œผ๋กœ์จ ๋Šฅ์ˆ™๋„ ์ง‘๋‹จ ๊ฐ„์˜ ์ฐจ์ด๋ฅผ ๋” ์ž์„ธํžˆ ๋ฌ˜์‚ฌํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ์— ์‚ฌ์šฉ๋œ ์ฝ”ํผ์Šค๋Š” ์—ฐ์„ธ ์˜์–ด ํ•™์Šต์ž ์ฝ”ํผ์Šค(Yonsei English Learner Corpus, YELC 2011)์—์„œ ์ถ”์ถœํ•œ 234๊ฐœ์˜ ๋…ผ์ฆ์  ์—์„ธ์ด๋กœ ๊ตฌ์„ฑ๋˜์–ด ์žˆ์œผ๋ฉฐ, ์ด๋Š” CEFR์— ๊ธฐ๋ฐ˜ํ•˜์—ฌ ์ดˆ๊ธ‰, ์ค‘๊ธ‰, ๊ณ ๊ธ‰์˜ ๊ธ€์“ฐ๊ธฐ ๋Šฅ์ˆ™๋„๋ฅผ ๋‚˜ํƒ€๋‚ด๋Š” ์„ธ ๊ฐœ์˜ ํ•˜์œ„ ์ฝ”ํผ์Šค๋กœ ๊ตฌ๋ถ„๋˜์—ˆ๋‹ค. ํ’ˆ์‚ฌ ํƒœ๊น…๋œ ์ฝ”ํผ์Šค๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ์ •๊ทœํ‘œํ˜„์‹(regular expressions)์„ ์‚ฌ์šฉํ•˜์—ฌ, Biber et al. (2011)์ด ์ œ์•ˆํ•œ ๋ฐœ๋‹ฌ๋‹จ๊ณ„์— ์žˆ๋Š” 9๊ฐœ์˜ ์ ˆ ๋ณต์žก์„ฑ ํŠน์ง•๊ณผ 8๊ฐœ์˜ ๊ตฌ ๋ณต์žก์„ฑ ํŠน์ง•์„ ์ถ”์ถœํ•˜์—ฌ ๊ฐ๊ฐ์˜ ๋นˆ๋„๋ฅผ ๊ณ„์‚ฐํ•˜์˜€๋‹ค. ํ”ผ์–ด์Šจ ์นด์ด์ œ๊ณฑ๊ฒ€์ •(a Pearson Chi-square test) ๊ฒฐ๊ณผ, ๊ธ€์“ฐ๊ธฐ ๋Šฅ์ˆ™๋„๊ฐ€ ์ ˆ๊ณผ ๊ตฌ์˜ ๋ณต์žก์„ฑ๊ณผ ์œ ์˜ํ•œ ์—ฐ๊ด€์„ฑ์ด ์žˆ๋‹ค๋Š” ๊ฒฐ๋ก ์ด ๋„์ถœ๋˜์—ˆ๋‹ค. ์‚ฌํ›„๊ฒ€์ •์œผ๋กœ ์ž”์ฐจ ๋ถ„์„(a residual analysis)์„ ์ˆ˜ํ–‰ํ•œ ๊ฒฐ๊ณผ, ํŠนํžˆ 5๊ฐœ ๋ณต์žก์„ฑ ํŠน์ง•์ด ์ด๋Ÿฌํ•œ ์—ฐ๊ด€์„ฑ์— ํฌ๊ฒŒ ๊ธฐ์—ฌํ–ˆ์Œ์ด ๋ฐํ˜€์กŒ๋‹ค. ์ฃผ๋ชฉํ•  ๋งŒํ•œ ๋ฐœ๊ฒฌ์€ ๊ฐ ๋Šฅ์ˆ™๋„ ์ง‘๋‹จ์˜ ์ฃผ์š” ๋ณต์žก์„ฑ ํŠน์ง•์ด Biber et al. (2011)์ด ์ œ์•ˆํ•œ ๋ฐœ๋‹ฌ๋‹จ๊ณ„์™€ ์ผ์น˜ํ•˜๋ฉฐ ๋”ฐ๋ผ์„œ ํ•œ๊ตญ์ธ ๋Œ€ํ•™์ƒ์˜ ๋ฐœ๋‹ฌ ํŒจํ„ด์ด ๋‘ ๊ฐœ์˜ ๋งค๊ฐœ๋ณ€์ˆ˜, ์ฆ‰ (1) ๊ตฌ์กฐ์  ํ˜•ํƒœ์™€ (2) ํ†ต์‚ฌ์  ๊ธฐ๋Šฅ์— ์˜ํ•ด ์„ค๋ช…๋  ์ˆ˜ ์žˆ๋‹ค๋Š” ์ ์ด๋‹ค. ์ฆ‰, ํ•œ๊ตญ ๋Œ€ํ•™์ƒ๋“ค์˜ ๋ฌธ๋ฒ•์  ๋ณต์žก์„ฑ์€ (i) ์ ˆ์˜ ๊ตฌ์„ฑ ์„ฑ๋ถ„์œผ๋กœ ๊ธฐ๋Šฅํ•˜๋Š” ์ •ํ˜• ์ข…์†์ ˆ(finite dependent clauses functioning as clause constituents)์ธ ๋ถ€์‚ฌ์ ˆ์˜ ๋นˆ๋ฒˆํ•œ ์‚ฌ์šฉ์—์„œ (ii) ๋ช…์‚ฌ๊ตฌ์˜ ๊ตฌ์„ฑ ์„ฑ๋ถ„์œผ๋กœ ๊ธฐ๋Šฅํ•˜๋Š” ์ •ํ˜• ์ข…์†์ ˆ(finite clause types function as NP constituents)์ธ WH ๊ด€๊ณ„์ ˆ์— ๋Œ€ํ•œ ์˜์กด์„ ๊ฑฐ์ณ (iii) ๋ช…์‚ฌ๊ตฌ์˜ ๊ตฌ์„ฑ ์„ฑ๋ถ„์œผ๋กœ ๊ธฐ๋Šฅํ•˜๋Š” ์ข…์†๊ตฌ(dependent phrasal structures functioning as noun phrase constituents)์ธ of ์ „์น˜์‚ฌ๊ตฌ์— ๋Œ€ํ•œ ์„ ํ˜ธ๋กœ ๋ฐœ๋‹ฌํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์˜ˆ์ƒ๊ณผ ๋‹ฌ๋ฆฌ, ๋ช…์‚ฌ์˜ ์„ ์ˆ˜์‹์–ด(premodifier)๋กœ ์‚ฌ์šฉ๋˜๋Š” ํ˜•์šฉ์‚ฌ ๋ฐ ๋ช…์‚ฌ์˜ ๋นˆ๋„๋Š” ๊ธ€์“ฐ๊ธฐ ๋Šฅ์ˆ™๋„์™€ ํฐ ์—ฐ๊ด€์„ฑ์ด ์—†๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์ด์— ๊ด€ํ•ด ํ•™์ƒ๋“ค์˜ ๊ธ€์„ ์งˆ์  ๋ถ„์„ํ•œ ๊ฒฐ๊ณผ, ์ฒซ์งธ, ์ดˆ๊ธ‰ ์ˆ˜์ค€์˜ ๊ธ€์€ ์“ฐ๊ธฐ ์ง€์‹œ๋ฌธ(writing prompts)์— ์ œ์‹œ๋œ ํ˜•์šฉ์‚ฌ+๋ช…์‚ฌ ์กฐํ•ฉ์„ ๋ฐ˜๋ณต์ ์œผ๋กœ ์‚ฌ์šฉํ•˜๋Š” ๊ฒฝํ–ฅ์„ ๋ณด์˜€๋‹ค. ๋‘˜์งธ, ๋ช…์‚ฌ+๋ช…์‚ฌ ๊ตฌ์กฐ์™€ ๊ด€๋ จํ•œ ์˜ค๋ฅ˜๊ฐ€ ๋Šฅ์ˆ™๋„๊ฐ€ ๋†’์•„์งˆ์ˆ˜๋ก ํ˜„์ €ํžˆ ๋‚ฎ์•„์ง€๋Š” ๊ฒฝํ–ฅ์„ ๋ณด์˜€๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ, ๋ณด์–ด์ ˆ(complement clauses)๊ณผ ๊ด€๋ จํ•ด์„œ๋Š” ๋ชจ๋“  ๋Šฅ์ˆ™๋„ ์ˆ˜์ค€์˜ ํ•™์ƒ๋“ค์ด ๋งค์šฐ ํ•œ์ •์ ์ธ ์ข…๋ฅ˜์˜ ํ†ต์ œ ๋ช…์‚ฌ(controlling nouns)๋ฅผ ์‚ฌ์šฉํ–ˆ์œผ๋ฉฐ, ํ•™๋ฌธ์ ์ธ ๊ธ€ ๋ณด๋‹ค๋Š” ์ผ์ƒ ๋Œ€ํ™”์—์„œ ์“ฐ์ด๋Š” ํ†ต์ œ ๋™์‚ฌ(controlling verbs)๋ฅผ ์‚ฌ์šฉํ•˜์˜€๋‹ค. ์ด๋Ÿฌํ•œ ์—ฐ๊ตฌ ๊ฒฐ๊ณผ๋Š” ํฌ๊ฒŒ ์„ธ๊ฐ€์ง€ ๊ต์œก์  ํ•จ์˜๋ฅผ ์‹œ์‚ฌํ•œ๋‹ค. ์ฒซ์งธ, ๊ฒฝํ—˜์ ์œผ๋กœ ๋„์ถœ๋œ ๋ฌธ๋ฒ•์  ๋ณต์žก์„ฑ์˜ ๋ฐœ๋‹ฌ ๋‹จ๊ณ„๋ฅผ ์ƒ์„ธํ•œ ํ‰๊ฐ€ ์ฒ™๋„ ์„ค๋ช…์ž(rating scale descriptors) ๊ฐœ๋ฐœ๊ณผ ๋ณด๋‹ค ๋งž์ถคํ™” ๋œ ์ˆ˜์—… ์„ค๊ณ„๋ฅผ ์œ„ํ•ด ํ™œ์šฉํ•ด์•ผ ํ•œ๋‹ค. ๋‘˜์งธ, ํ•™๋ฌธ์ ์ธ ๊ธ€์—์„œ ๋ณด์–ด์ ˆ๊ณผ ํ•จ๊ป˜ ์ž์ฃผ ์‚ฌ์šฉ๋˜๋Š” ํ†ต์ œ ๋ช…์‚ฌ ๋ฐ ๋™์‚ฌ์— ๋Œ€ํ•œ ๊ต์‹ค ์ˆ˜์—…์„ ํ†ตํ•ด, ํ•™์Šต์ž๋“ค์ด ๋ฌธ๋ฒ•์  ๊ตฌ์กฐ๋ฅผ ํ•™๋ฌธ์ ์ธ ์–ดํœ˜๋กœ ์‹คํ˜„ํ•  ์ˆ˜ ์žˆ๋„๋ก ํ•ด์•ผ ํ•œ๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ, ํŠนํžˆ ๋ช…์‚ฌ๋ฅผ ์„ ์ˆ˜์‹ํ•˜๋Š” ๋ช…์‚ฌ ๋ฐ ๊ด€๊ณ„๋Œ€๋ช…์‚ฌ์ ˆ์˜ ์‚ฌ์šฉ์— ์žˆ์–ด ํ•™์Šต์ž์˜ ๊ธ€์—์„œ ์ž์ฃผ ๋ฐœ๊ฒฌ๋˜๋Š” ์˜ค๋ฅ˜๋ฅผ ์‹œ์ •ํ•จ์œผ๋กœ์จ, ๋ฌธ๋ฒ• ๊ตฌ์กฐ ์‚ฌ์šฉ์— ๋Œ€ํ•œ ์ •ํ™•์„ฑ์„ ํ–ฅ์ƒ์‹œ์ผœ์•ผ ํ•œ๋‹ค.Studies that explore L2 writing development identify grammatical complexity as a primary discriminator for different proficiency levels of L2 writers. In the 1990s, grammatical complexity in L2 writing was often measured by clausal complexity, but the kind of complexity that has recently received particular attention is phrasal complexity. Such a move follows the recognition that clausal complexity represents the complexity of conversation and beginning levels of writing development, whereas phrasal complexity, specifically noun phrase complexity, represents the complexity of academic writing and advanced developmental levels. Some L2 writing studies, however, have yielded conflicting results, showing that phrasal features as noun modifiers have little predictive power for writing quality. One possible reason underlying these inconsistent results might be that most studies in this area have used corpus data from learners of heterogenous L1 backgrounds with no consideration for the significant effect of L1 on the use of complexity features in L2 writing. Thus, this study analyzed essay samples produced only by L1 Korean writers to investigate whether clausal and phrasal complexity is associated with L2 writing proficiency and, if so, what developmental patterns can be observed based on complexity features that contribute substantially to the association. A qualitative analysis of student writing was followed up to provide a detailed description of proficiency-level differences, especially with respect to lexical realizations and error types associated with specific complexity features. The corpus used in the present study contained 234 argumentative essays written by first-year college students, including 78 low-rated essays (A1 and A1+ levels of the CEFR), 78 mid-rated essays (B1 and B1+ levels of the CEFR), and 78 high-rated essays (B2+, C1, and C2 levels of the CEFR). Drawing on Biber et al.s (2011) developmental index, the nine clausal and eight phrasal complexity features were extracted from the tagged corpus using regular expressions to measure the frequency of each feature. The result of a Pearson Chi-square test demonstrated a statistically significant association between the three proficiency levels and the use of clausal and phrasal complexity features. The post-hoc residual analysis revealed five complexity features with great contribution to the association: finite adverbial clause, noun complement clause, WH relative clause, prepositional phrase (of), and prepositional phrase (other). Especially noteworthy is the finding that the main source of complexity at each proficiency level agrees with its corresponding developmental stage reported by Biber et al. (2011), and thus, developmental patterns for Korean college students are successfully explained by two parameters: (1) structural form (finite dependent clauses vs. dependent phrases) and (2) syntactic function (clause constituents vs. noun phrase constituents). Specifically, the development proceeds from (i) clausal complexity mainly via finite adverbial clauses (i.e., finite dependent clauses functioning as clause constituents); through (ii) the intermediate stage of heavy reliance on WH relative clauses (i.e., finite clause types functioning as noun phrase constituents); to finally (iii) phrasal complexity primarily via prepositional phrases (of) (i.e., phrasal structures functioning as noun phrase constituents). Surprisingly, premodifying adjectives and nouns were found to have no significant association with L2 writing proficiency despite being noun-modifying phrasal features. The subsequent qualitative analysis of student writing, however, illustrated greater proficiency of the highly rated essays in using these features in two regards. First, the lower-rated essays drew much more heavily on adjective-noun sequences presented in writing prompts than the higher-rated essays. Second, the number of errors in the composition of noun-noun sequences noticeably decreased in the higher-rated essays. The qualitative observation concerning that-complement clauses, on the other hand, identified the reliance on a limited set of controlling nouns and conversational styles of controlling verbs in student writing across proficiency levels. Three main pedagogical implications are provided based on the findings: (i) the use of empirically derived developmental stages to create detailed rating scale descriptors and provide more customized writing courses on the use of complexity features; (ii) the need for classroom instruction on common academic controlling nouns and verbs used in that complement clauses given the importance of academically oriented lexical realizations of grammatical structures; and (iii) the need to address recurrent errors, particularly in terms of using premodifying nouns and relative clauses.CHAPTER 1. INTRODUCTION 1 1.1 Background of the Study 1 1.2 Purpose of the Study 4 1.3 Research Questions 5 1.4 Organization of the Thesis 6 CHAPTER 2. LITERATURE REVIEW 8 2.1 Grammatical Complexity in L2 Writing 8 2.1.1 Definition of Grammatical Complexity 9 2.1.2 Grammatical Complexity in L2 Writing Studies 13 2.2 Criticism of Traditional Measures of Grammatical Complexity 15 2.2.1 Reductiveness and Redundancy of Length- and Subordination-based Measures 16 2.2.2 Inappropriateness of the T-unit Approach to the Assessment of Writing Development 21 2.3 Measures of Grammatical Complexity in L2 Writing 24 2.3.1 Clausal and Phrasal Complexity in Relation to L2 Writing Development 25 2.3.2 Studies on Clausal and Phrasal Complexity in L2 Writing 31 2.4 Variation in the Use of Grammatical Complexity Features 36 2.4.1 The Effect of L1 Background 37 2.4.2 The Effect of Genre 43 2.4.3 The Effect of Timing Condition 46 CHAPTER 3. METHODOLOGY 50 3.1 Learner Corpus 50 3.1.1 Description of YELC 2011 50 3.1.2 Description of a Subset of YELC 2011 used in the Study 53 3.2 Grammatical Complexity Measures 55 3.3 Corpus Tagging and Automatic Extraction 59 3.4 Data Analysis 65 CHAPTER 4. RESULTS AND DISCUSSION 70 4.1 Descriptive Statistics 70 4.2 The Association between L2 Writing Proficiency and Grammatical Complexity 76 4.3 The Developmental Patterns of Grammatical Complexity 77 4.4 The Grammatical Complexity Features with Great Contribution to the Association 84 4.4.1 Finite Adverbial Clauses 84 4.4.2 Prepositional Phrases as Nominal Postmodifiers 92 4.4.3 WH Relative Clauses 100 4.4.4 Finite Complement Clauses Controlled by Nouns 106 4.5 The Grammatical Complexity Features with Little Contribution to the Association 112 4.5.1 Premodifying Adjectives 113 4.5.2 Nouns as Nominal Premodifiers 120 4.5.3 Finite Complement Clauses Controlled by Verbs or Adjectives 125 CHAPTER 5. CONCLUSION 136 5.1 Major Findings 136 5.2 Pedagogical Implications 139 5.3 Limitations and Prospect for Future Research 142 REFERENCES 145 APPENDICES 161 ABSTRACT IN KOREAN 165์„
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