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Quantifying L2ers' phraseological competence and text quality in L2 English writing (L2 영어 학습자들의 연어 사용 능숙도와 텍스트 질 사이의 수치화)

  • Kwon, Junhyeok;Kim, Jaejun;Kim, Yoolae;Park, Myung-Kwan;Song, Sanghoun
    • Annual Conference on Human and Language Technology
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    • 2017.10a
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    • pp.281-284
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    • 2017
  • On the basis of studies that show multi-word combinations, that is the field of phraseology, this study aims to examine relationship between the quality of text and phraseological competence in L2 English writing, following Yves Bestegen et al. (2014). Using two different association scores, t-score and Mutual Information(MI), which are opposite ways of measuring phraseological competence, in terms of scoring frequency and infrequency, bigrams from L2 writers' text scored based on a reference corpus, GloWbE (Corpus of Global Web based English). On a cross-sectional approach, we propose that the quality of the essays and the mean MI score of the bigram extracted from YELC, Yonsei English Learner Corpus, correlated to each other. The negative scores of bigrams are also correlated with the quality of the essays in the way that these bigrams are absent from the reference corpus, that is mostly ungrammatical. It indicates that increase in the proportion of the negative scored bigrams debases the quality of essays. The conclusion shows the quality of the essays scored by MI and t-score on cross-sectional approach, and application to teaching method and assessment for second language writing proficiency.

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Quantifying L2ers' phraseological competence and text quality in L2 English writing (L2 영어 학습자들의 연어 사용 능숙도와 텍스트 질 사이의 수치화)

  • Kwon, Junhyeok;Kim, Jaejun;Kim, Yoolae;Park, Myung-Kwan;Song, Sanghoun
    • 한국어정보학회:학술대회논문집
    • /
    • 2017.10a
    • /
    • pp.281-284
    • /
    • 2017
  • On the basis of studies that show multi-word combinations, that is the field of phraseology, this study aims to examine relationship between the quality of text and phraseological competence in L2 English writing, following Yves Bestegen et al. (2014). Using two different association scores, t-score and Mutual Information(MI), which are opposite ways of measuring phraseological competence, in terms of scoring frequency and infrequency, bigrams from L2 writers' text scored based on a reference corpus, GloWbE (Corpus of Global Web based English). On a cross-sectional approach, we propose that the quality of the essays and the mean MI score of the bigram extracted from YELC, Yonsei English Learner Corpus, correlated to each other. The negative scores of bigrams are also correlated with the quality of the essays in the way that these bigrams are absent from the reference corpus, that is mostly ungrammatical. It indicates that increase in the proportion of the negative scored bigrams debases the quality of essays. The conclusion shows the quality of the essays scored by MI and t-score on cross-sectional approach, and application to teaching method and assessment for second language writing proficiency.

  • PDF