• 제목/요약/키워드: Wordlist

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연어 중심 어휘지도가 고등학생의 영어 독해력 향상에 미치는 영향 (Effects of collocation-based vocabulary instruction on improving English reading ability for high school learners)

  • 김낙복
    • 영어어문교육
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    • 제13권3호
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    • pp.157-176
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    • 2007
  • Based on the consensus that vocabulary plays an essential role in improving reading ability, the present study investigates the effects of two different methods of English vocabulary instruction - the traditional wordlist-based vocabulary instruction (G1) and the collocation-based vocabulary instruction (G2) - on improving English reading ability for high school learners. First, the results of the collocation test revealed that G1 and G2 groups attained similar mean scores on the pretests; however, G2 significantly outperformed G1 on the post-test administered at the end of the learning activity. The results proved that students who learned vocabulary in a collocation-oriented setting had better retention through the lexical-chunking achieved by the collection method. Second, in terms of reading comprehension achieved on nationwide academic trial tests, the result was, after considering more tests, that G2 gained a significantly higher mean score on the third and fourth than G1 did, although the two groups yielded a similar mean score on the first and second test. The implication of these results is that collocation-based vocabulary activities had a more significant influence on reading skills than wordlist-oriented ones.

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어휘 지도 방법이 어휘 학습전략 사용과 정의적 측면에 미치는 효과: 학생 설문 조사 분석을 중심으로 (The effects of a vocabulary instructional method on vocabulary learning strategy use and the affective domain: Focus on an analysis of students' survey responses)

  • 김낙복
    • 영어어문교육
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    • 제11권3호
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    • pp.89-112
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    • 2005
  • This study investigated the effects of collocation-based vocabulary instruction for the experimental group (G2). It was compared to the traditional wordlist-based vocabulary instruction for the control group (G1). This results reflect the development of low level high school EFL learners' vocabulary learning strategy use and the positive change in the affective domain. In the analysis of the survey responses, G1 and G2 did not differ significantly on the first questionnaire. They did, however, differ significantly on the second questionnaire. G2 used more strategies to discover and to consolidate the meaning of the words by means of combining words. In terms of the affective domain, G2 participated more actively in the learning activities, which had a significant effect on vocabulary growth, memory, self-confidence, motivation, and cooperative learning. This is attributable to the fact that G2 was more inquisitive, interested, challenged, participatory, cooperative, and attentive than G1 in performing the vocabulary task activities. Moreover, the data collected from the questionnaire showed that G2 performed more interactive and dynamic activities in solving the given tasks.

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Vocabulary Analyzer Based on CEFR-J Wordlist for Self-Reflection (VACSR) Version 2

  • Yukiko Ohashi;Noriaki Katagiri;Takao Oshikiri
    • 아시아태평양코퍼스연구
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    • 제4권2호
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    • pp.75-87
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    • 2023
  • This paper presents a revised version of the vocabulary analyzer for self-reflection (VACSR), called VACSR v.2.0. The initial version of the VACSR automatically analyzes the occurrences and the level of vocabulary items in the transcribed texts, indicating the frequency, the unused vocabulary items, and those not belonging to either scale. However, it overlooked words with multiple parts of speech due to their identical headword representations. It also needed to provide more explanatory result tables from different corpora. VACSR v.2.0 overcomes the limitations of its predecessor. First, unlike VACSR v.1, VACSR v.2.0 distinguishes words that are different parts of speech by syntactic parsing using Stanza, an open-source Python library. It enables the categorization of the same lexical items with multiple parts of speech. Second, VACSR v.2.0 overcomes the limited clarity of VACSR v.1 by providing precise result output tables. The updated software compares the occurrence of vocabulary items included in classroom corpora for each level of the Common European Framework of Reference-Japan (CEFR-J) wordlist. A pilot study utilizing VACSR v.2.0 showed that, after converting two English classes taught by a preservice English teacher into corpora, the headwords used mostly corresponded to CEFR-J level A1. In practice, VACSR v.2.0 will promote users' reflection on their vocabulary usage and can be applied to teacher training.

코퍼스 기반 영어 통사론 학술 어휘목록 구축 및 어휘 분포 분석 (A Corpus-based English Syntax Academic Word List Building and its Lexical Profile Analysis)

  • 이혜진;이제영
    • 한국콘텐츠학회논문지
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    • 제21권12호
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    • pp.132-139
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    • 2021
  • 본 코퍼스 기반 연구는 통사론 영역에서 자주 등장하는 학술어휘들을 목록화하고 추출된 단어 목록을 Coxhead(2000)의 학술어휘 목록(AWL) 및 West(1953)의 기본어휘 목록(GSL)과 비교하여 통사론 코퍼스 내의 어휘 분포와 범위를 조사하였다. 이를 위해 영어교육 전공자들이 주로 사용하는 필수 통사론 전공 서적을 546,074 단어 수준의 전문 코퍼스로 구축한 다음 AntWordProfiler 1.4.1로 분석하였다. 빈도를 기준으로 분석한 결과 16회 이상 등장한 학술어휘는 288개(50.5%), 15회 이하 등장한 학술어휘는 218개(38.2%)로 나타났다. AWL과 GSL의 출현 범위는 각각 9.19%와 78.92%로 나타났으며 GSL과 AWL을 포함한 비중은 전체 토큰의 88.11%에 달하였다. AWL이 광범위한 학술 요구를 충족시키는데 중추적인 역할을 할 수 있다는 점을 감안할 때, 본 연구는 학문 문식성과 학업 능력을 향상시키기 위한 방안으로 학문 분야별 학술 어휘목록을 편성할 필요가 있음을 강조하였다.

Ternary Decomposition and Dictionary Extension for Khmer Word Segmentation

  • Sung, Thaileang;Hwang, Insoo
    • Journal of Information Technology Applications and Management
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    • 제23권2호
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    • pp.11-28
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    • 2016
  • In this paper, we proposed a dictionary extension and a ternary decomposition technique to improve the effectiveness of Khmer word segmentation. Most word segmentation approaches depend on a dictionary. However, the dictionary being used is not fully reliable and cannot cover all the words of the Khmer language. This causes an issue of unknown words or out-of-vocabulary words. Our approach is to extend the original dictionary to be more reliable with new words. In addition, we use ternary decomposition for the segmentation process. In this research, we also introduced the invisible space of the Khmer Unicode (char\u200B) in order to segment our training corpus. With our segmentation algorithm, based on ternary decomposition and invisible space, we can extract new words from our training text and then input the new words into the dictionary. We used an extended wordlist and a segmentation algorithm regardless of the invisible space to test an unannotated text. Our results remarkably outperformed other approaches. We have achieved 88.8%, 91.8% and 90.6% rates of precision, recall and F-measurement.

Clustering Keywords to Define Cybersecurity: An Analysis of Malaysian and ASEAN Countries' Cyber Laws

  • Joharry, Siti Aeisha;Turiman, Syamimi;Nor, Nor Fariza Mohd
    • 아시아태평양코퍼스연구
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    • 제3권2호
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    • pp.17-33
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    • 2022
  • While the term is nothing new, 'cybersecurity' still seems to be defined quite loosely and subjectively depending on context. This is problematic especially to legal writers for prosecuting cybercrimes that do not fit a particular clause/act. In fact, what is more difficult is the non-existent single 'cybersecurity law' in Malaysia, rather than the current implementation of 10-related cyber security acts. In this paper, the 10 acts are compiled into a corpus to analyse the language used in these acts via a corpus linguistics approach. A list of frequent words is firstly investigated to see whether the so-called related laws do talk about cybersecurity followed by close inspection of the concordance lines and habitually associated phrases (clusters) to explore use of these words in context. The 'compare 2 wordlist' feature is used to identify similarities or differences between the 10 Malaysian cybersecurity related laws against a corpus of cyber laws from other ASEAN countries. Findings revealed that ASEAN cyber laws refer mostly to three cybersecurity dominant themes identified in the literature: technological solutions, events, and strategies, processes, and methods, whereas Malaysian cybersecurity-related laws revolved around themes like human engagement, and referent objects (of security). Although these so-called cyber related policies and laws in Malaysia are highlighted in the National Cyber Security Agency (NACSA), their practical applications to combat cybercrimes remain uncertain.

빈도 분석을 활용한 한·영 사망기사 특징 비교 (A Corpus-driven Approach to Korean and English Newspaper Obituaries)

  • 신혜정
    • 한국콘텐츠학회논문지
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    • 제14권11호
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    • pp.592-601
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    • 2014
  • 사망기사는 각 언어 문화의 특성이 반영된 귀중한 자료임에도 불구하고, 한국 학계의 관심을 받지 못했다. 특히 언어학적 관점에서 사망기사를 조명한 최근의 연구는 찾아보기 어렵다. 이에 본 연구는 코퍼스 분석기법을 적용하여 한국 및 영미권의 사망기사를 비교 연구하였다. 코퍼스 분석 프로그램 워드스미스(WordSmith)의 어휘목록(wordlist), 클러스터(cluster) 분석과 용례색인(concordance)을 활용하여 한국어와 영어 사망기사에 등장하는 고(高)빈도어를 찾고, 이로부터 각 언어 사망기사의 의미 있는 패턴을 포착하여 각각의 특징을 정리하였다. 본 연구에서 수집 분석한 코퍼스에서 한국과 영미권 사망기사는 뚜렷이 구별되는 특징을 보였다.

CERAD-K를 이용한 한방병원 입원환자의 뇌졸중후 인지기능 저하에 대한 고찰 (A Study on Post Stroke Cognitive Deficit by CERAD-K Test)

  • 김재규;민성순;이상희;이경희;김효진;허태율;권오순;김영균
    • 대한한방내과학회지
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    • 제28권4호
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    • pp.838-849
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    • 2007
  • Backgrounds & Objectives : The aim of study was to evaluate post stroke cognitive deficit. We applied CERAD-K for post-stroke cognitive deficit, and revalued after treatment for 4 weeks. Methods : We applied CERAD-K test to 25 patients with post stroke cognitive deficit and compared with previous literature. After acupuncture treatment, moxa treatment, herb medicines, physical and occupational therapy for 4 weeks, we revalued changes by CERAD-K to 13 people that received treatment. Results : The stroke group's points were lower than the normal group in general cognition. Verbal fluency, MMSE-KC, and constructional praxis scores was lower than the AD group. Boston Naming Test, word list immediate recall, word list delayed recall, wordlist recognition, and praxis delayed recall scores were higher than the AD group. Verbal fluency (p=0.017), MMSE-KC (p=0.026), and word list immediate recall (p=0.005) scores of 13 patients participating in this study showed a statistically significant increase after treatment. Conculsions : Acupuncture treatment, moxa treatment, herb medicines, physical and occupational therapy are effective for improvement of post-stroke cognitive deficit, but this study could not demonstrate whether some treatments influenced cognition and there was a limitation in lacking a control group.

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