• The Journal of the Korea Contents Association
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• v.14 no.11
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• pp.1019-1029
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• 2014

In recent years, researchers have become increasingly interested in the creation and pedagogical use of English learner corpora. Many studies have shown that learner corpora can not only make a significant contribution to second language acquisition research but also contribute to the construction and evaluation of language tests by advancing our understanding of English learners. So far, however, little attention has been paid to the Korean EFL (English as a foreign language) learners' corpus. The Yonsei English Learner Corpus (YELC 2011) is a specialized, monolingual, and synchronic Korean EFL learner corpus that was developed by Yonsei University from 2011 to 2012. Over 3,000 Korean high school graduates (or equivalents) who were accepted by Yonsei University for their further studies participated in this project. It consists of 6,572 written texts (1,085,828 words) at nine different English proficiency levels. In this paper, we describe its compilation, and more specifically, how we have corpusized from a text archive to a corpus. After introducing the process of corpusization, we report arresting insights into the specific linguistic features that different proficiency levels of Korean learners of English have. This study also discusses the potential use of the YELC 2011 which is now freely available for research purposes.

• 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.

• 한국어정보학회:학술대회논문집
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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.