• Journal of Korean language education
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• v.28 no.4
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• pp.245-271
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• 2017

This study aimed at investigating the lexical diversity in the "Frog Story" narratives of Korean-Chinese bilingual children. Six bilingual speakers of Korean children- four boys and two girls- were audio recorded as they produced narratives based on pictures from the Mercer Mayer book "Frog, where are you?" The order of narration was counterbalanced. The vocabularies from narratives were analyzed by type, token, TTR (type-token Ratio) and D value using the CLAN (Computerized Language Analysis) program. The findings showed that the pattern of lexical diversity in Korean is similar with the Chinese, but the TTR and D value of Chinese still remain low in comparison with those of Korean. In addition, Korean language seems to have significant influence on Chinese in the language usage pattern and vice versa.

• International Journal of Advanced Culture Technology
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• v.11 no.4
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• pp.42-47
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• 2023

The majority of research on Automated Writing Evaluation (AWE) programs has focused primarily on Grammarly, whereas QuillBot and its use in English as a Foreign Language (EFL) classrooms remains limitedly explored. This study examined the effectiveness of using QuillBot on the writing quality of college students. A total of 26 participants took pre- and post-writing tests, and four analytical tools were applied to assess their writing quality in terms of syntactic complexity, lexical diversity, lexical richness, and readability. Results of the syntactic complexity analysis across the four indices demonstrates that the syntactic complexity of EFL writing increased significantly, and substantial differences were observed in lexical richness and readability. These results suggest that QuillBot can compensate for the drawbacks of Grammarly and assist EFL writers in improving their overall writing quality.

• English Language & Literature Teaching
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• v.17 no.4
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• pp.193-206
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• 2011

The purpose of the study is to examine the use of emotion vocabulary by Korean English learners. Three basic emotion fields, pleasure, anger, and fear were selected to elicit the participants' responses. L1 English speakers' data was also collected for comparison. The major results are as follows. First, English learners responded with various inappropriate verb forms like I feel~, I am~ while the majority of English native speaking teachers responded with subjunctive forms like I would feel~. In addition, L2 English learners used mostly simple and coordination sentences. Second, the lexical richness, measured through type/token ratio, was higher in English L1 data than in English L2 data. The proportion of emotion lemmas reflects the lexical richness or the diversity of the emotion words. Lastly, L2 English learners' responses focused on a few typical adjectives like happy, angry and scared. This structural and semantic distinctiveness of Korean English learners' emotion words was discussed from pedagogical perspectives.

• The Korean Journal of Community Living Science
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• v.19 no.4
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• pp.673-684
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• 2008

The purpose of this study is to compare the complexity of language level between verbally-precocious and typically-developing children from 2 to 3 years-old. Participants were 15 children classified as verbally-precocious were scored at the mean 56.85(expressive language) and 88.82(receptive language), and another 15 children classified as typically developing did at the mean 33.51(expressive language) and 58.01(receptive language) on MCDI-K. Each child's spontaneous utterances in interaction with her caregiver were collected at three different times with 6 months interval. All of the utterances were transcribed and analyzed for the use of MLU and lexical diversity by using KCLA. Summarizing the overall results, verbally-precocious children had significantly higher language abilities than typically-developing children at each time, and there were significant differences between two groups in syntactic and semantic language development, showing that verbally-precocious children indicated distinctive MLU and lexical diversity. These results suggest a high degree of stability in precocious verbal status, with variations in language complexity during conversations contributing to later differences in their language ability.

• Korean Journal of Cognitive Science
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• v.24 no.3
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• pp.203-235
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• 2013

The goal of this paper is to test the findings about English-speaking children's acquisition of inflectional morphemes in the literature using a large-scale database. For this, we obtained a 4.7-million-word corpus from the CHILDES (Child Language Data Exchange System) database, and analyzed 1,630 British and American children's uses of English derivational morphemes up to age 7. We analyzed the type and token frequencies, type per token ratio (TTR), and the lexical diversity (D) for such inflectional morphemes as the present progressive -ing, the past tense -(e)d, the comparative and superlative -er/est with reference to children's nationality and age groups. To sum up our findings, the correlations between the D value and children's age varied from morpheme to morpheme; e.g. we found no correlation for -ing, a marginal correlation for -ed, and a strong correlation for -er/-est. Our findings are consistent with Brown's (1973) classical observation that children learn progressive forms earlier than the past tense marker. In addition, overgeneralization errors were frequently found for -ed, but rarely for -ing, showing a U-shaped developmental pattern at ages 2-3. Finally, American children showed higher D scores than British children, which showed that American children used inflectional morphemes for more word types compared with British children. The present study has its significance in testing the earlier findings in the literature by setting up well-defined methodology for analyzing the entire CHILDES database.

• The Journal of the Korea Contents Association
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• v.21 no.10
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• pp.576-593
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• 2021

In this study, in order to investigate the factors that affect the percentage of correct answers and the degree of discrimination of the TOEIC test, a regression analysis was performed using corpus indicators that influence correct answer rate and the degree of discrimination for each part derived from the item analysis. The basic calculation word_length, consistency index LSA_overlap_adjacent_sentences, lexical diversity MTLD_VOCD, conjunction All_logical_causal_connectives_incidence, situational model casual_particles_causal_verbs_Ratio, syntactic complexity Left_embeddedness, and syntactic pattern density Infinitive_density were found to have negative effects. These factors that lower the correct answer rate can be utilized when setting learning goals. Vocabulary diversity index MTLD_VOCD, conjunction Additive_connectives_incidence, syntactic pattern density Infinitive_density, and lexical information person1_2_pronoun_incidence were found to have a positive effect. Factors influencing the increase in discrimination may provide important information for developing a learning program.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.6 no.11
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• pp.2866-2879
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• 2012

Among the various security threats in online games, the use of game bots is the most serious problem. Previous studies on game bot detection have proposed many methods to find out discriminable behaviors of bots from humans based on the fact that a bot's playing pattern is different from that of a human. In this paper, we look at the chatting data that reflects gamers' communication patterns and propose a communication pattern analysis framework for online game bot detection. In massive multi-user online role playing games (MMORPGs), game bots use chatting message in a different way from normal users. We derive four features; a network feature, a descriptive feature, a diversity feature and a text feature. To measure the diversity of communication patterns, we propose lightly summarized indices, which are computationally inexpensive and intuitive. For text features, we derive lexical, syntactic and semantic features from chatting contents using text mining techniques. To build the learning model for game bot detection, we test and compare three classification models: the random forest, logistic regression and lazy learning. We apply the proposed framework to AION operated by NCsoft, a leading online game company in Korea. As a result of our experiments, we found that the random forest outperforms the logistic regression and lazy learning. The model that employs the entire feature sets gives the highest performance with a precision value of 0.893 and a recall value of 0.965.

• The Journal of the Korea Contents Association
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• v.17 no.4
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• pp.331-341
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• 2017

This paper aims to analyze English vocabulary of the North Korean textbooks diachronically using the constructed English textbook corpus. The North Korea English textbooks attained from Information Center on North Korea of the Ministry of Unification are divided into before and after Kim Jong-Il era for the year of 1996 in which the curriculum revision has been conducted. They are stored as text files to analyse vocabularies using WordSmith Tools 7.0. The vocabulary size of the revised textbooks increased after the curriculum reorganization, but the number of vocabulary types and vocabulary diversity decreased. After the curriculum revision, it was found that lots of vocabulary related to the establishment of the Kim Jong-Il system appeared as the keyword. It was also found that some vocabularies reflected the economic and social life of North Korea. In addition, through comparison of the 100 high-frequency word list and keywords, it can be concluded that the vocabulary of the English textbooks of North Korea is gradually changing into communicative contents from contents related with written language.

• Journal of Gifted/Talented Education
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• v.26 no.4
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• pp.699-719
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• 2016

Alternate pictures that are proven to be equivalent are in high demand to assess creative thinking and language skills. This study aimed to investigate the equivalence of three pictures ('Dog owners,' 'Lost Dog,' and 'Overslept') recently developed for use in a creative writing task. Middle school students (N=183) wrote a story in English based on one of the three prompts distributed randomly. Four writing features (fluency, syntactic complexity, lexical diversity, and temporality) were analyzed with Coh-Metrix and MANCOVA. The three prompts were largely equivalent in their capacity to detect differences among writers in all the features of writing. The difficulty levels of the three prompts, however, were not necessarily the same. Two prompts, Dog Owners and Lost Dog, were verified as equivalent prompts, and therefore, they are recommended as alternate forms to assess creative language skills in repeated measurements. The Overslept prompt had greater facility in eliciting diverse words and more temporal connectives in composing stories. The differential difficulty shown among the prompts suggests that the validity of using different picture versions in repeated assessment remains questionable unless those versions undergo equivalence verification.

• Phonetics and Speech Sciences
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• v.16 no.1
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• pp.41-48
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• 2024

The significance of self-reported voice assessments concerning patients' chief complaints and quality of life has increased. Therefore, readability assessments of questionnaire items are essential. In this study, readability analyses were performed based on text grade and complexity, vocabulary frequency and grade, and lexical diversity of the 11 Korean versions of self-reported voice disorder questionnaires (KVHI, KAVI, KVQOL, K-SVHI, K-VAPP, K-VPPC, TVSQ, K-VDCQ, K-VFI, K-VTDS, and K-VoiSS). Additionally, a comparative readability assessment was conducted on the original versions of these questionnaires to discern the differences between their Korean counterparts and the questionnaires for children. Consequently, it was determined that voice disorder questionnaires could be used without difficulty for populations with lower literacy levels. Evaluators should consider subjects' reading levels when conducting assessments, and future developments and revisions should consider their reading difficulties.