• Journal of Digital Convergence
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• v.10 no.7
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• pp.167-172
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• 2012

In vocabulary recognition using HMM(Hidden Markov Model) by model for the observation of a discrete probability distribution indicates the advantages of low computational complexity, but relatively low recognition rate has the disadvantage that require sophisticated smoothing process. Gaussian mixtures in order to improve them with a continuous probability density CHMM (Continuous Hidden Markov Model) model is proposed for the optimization of the library system. In this paper is system configuration thread control in recognition Gaussian mixtures model provides a model to optimize of the CHMM vocabulary recognition. The result of applying the proposed system, the recognition rate of 98.1% in vocabulary recognition, respectively.

• The Journal of the Korea Contents Association
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• v.20 no.1
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• pp.107-116
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• 2020

This paper aims to explore the vocabulary difference between South and North Korean English textbooks as a first step toward a unified vocabulary list. To this end, both South and North Korean English textbooks in 2000s and 2010s are digitized into a corpus of text files, and a vocabulary list is constructed based on the corpus with reference to its concordances for the vocabulary use and contexts using AntConc 3.5.7. The vocabulary list of North Korean English textbooks are compared and found in their differences of quantity and quality of the English vocabulary in English education. Both quantitative and qualitative differences are found in between South and North Korean English textbook corpus. Both South and North aim that students learn about 3,000 words throughout the English education. North Korean English textbook contains more special academic vocabulary while South Korean English textbook is constrained by a strict vocabulary control which does not allow such a flexibility. Differences of vocabulary and their use are caused by the capitalistic market economy of South and the socialists' planned economy of North. Differences are also attributed to the religious words and grammatical vocabulary appearance.

• The Journal of the Korea Contents Association
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• v.22 no.5
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• pp.37-47
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• 2022

The purpose of this study was to research the effects of Korean beginner learners' perception of vocabulary learning and comparison of vocabulary learning methods between the use of vocabulary application Classcard and rote learning with writing. This experiment was conducted by 24 beginner Korean learners who were at the 1st and 2nd level in Institute of Korean Language of D University. These students were dividing into 2 groups for the test - 12 in the control group and 12 in the experimental group. They took the vocabulary tests which were designed for examining the differences between before and after learning. Study results showed that vocabulary learning using the application Classcard significantly improved learners' vocabulary scores which were statistically significant. These results demonstrated that the method using Classcard has a greater learning effect than the method of rote learning with writing. Furthermore, the survey showed that learners did not feel uncomfortable in learning vocabulary using the application Classcard, and they thought it was one of the ways to learn vocabulary easily, which means that vocabulary learning using this application has a positive effect on learners' learning achievement. This study is significant in that it suggested a vocabulary learning method that can increase learners' interest and vocabulary by proving the effect of vocabulary learning using applications.

• Journal of the Korea Society of Computer and Information
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• v.15 no.2
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• pp.127-134
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• 2010

In continuous vocabulary recognition system by probability distribution of clustering method has used model parameters of an advance estimate to generated each contexts for phoneme data surely needed but it has it's bad points of gaussian model the accuracy unsecure of composed model for phoneme data. To improve suggested probability distribution mixed gaussian model to optimized that phoneme data search supported configuration thread system. This paper of configuration thread system has used extension facet classification user phoneme configuration thread information offered gaussian model the accuracy secure. System performance as a result of represent vocabulary dependence recognition rate of 98.31%, vocabulary independence recognition rate of 97.63%.

• Journal of Digital Convergence
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• v.16 no.2
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• pp.1-7
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• 2018

The current study investigates whether artificially intelligent chatbots influence Korean EFL students' vocabulary learning. For eight weeks, 47 college students in Korea participated in this study. They were divided into two groups: one experimental group and one control group. Participants in the experimental group engaged in chat with a chatbot during the eight-week experimental period. Before and after the experiment, pre- and post-tests were administered to see if their English vocabulary improved. Pre- and post- surveys were also performed to understand how the participants perceived chatbot-assisted vocabulary learning. Results show that the experimental group improved their vocabulary skills as a result of engaging in chat with the chatbot. Also, their perceptions of vocabulary learning positively changed, increasing their motivation, interest, and confidence in English. Given that there have been few empirical studies to investigate the effects of chatbots on vocabulary development, the present study can provide insights on the effectiveness of chatbots.

• MALSORI
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• no.43
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• pp.57-72
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• 2002

The technology of speech recognition has a wide field of application. The range of such technology is spreading into mobile computing having the large amount of movement for communication equipments at the present time. Particularly, recognition in internet environment is rapidly moving into mobile environment. Because of these environments, users want the faster speed of data transmission and the lighter portable equipment for data access. That is PDA(Personal Digital Assistant). Therefore, we designed a triphone-based text independent vocabulary recognizer for the implementation of speech control in this paper. The text independent vocabulary recognizer is based on the state .joint algorithm with decision trees

• Korean Journal of Child Studies
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• v.21 no.2
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• pp.45-56
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• 2000

This study investigated the effects of writing activity integrated with verbal sharing on the diversity of vocabulary and complexity of expression in 33 five-year-old children attending a private kindergarten in Seoul. Subjects were divided into a control group of 16 children and an experimental group of 17 children. The experimental group participated in a 7 week program of writing activities integrated with verbal sharing time. The instrument used for the pre-and post-tests was the writing ability test(Nam Mi Jung, 1996) and the complexity of sentences test(Young Hee No, 1994). Data were analyzed by ANCOVA. The results revealed significant differences between the experimental and control groups in children's diversity of vocabulary and complexity of expression.

• International Journal of Computer Science & Network Security
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• v.22 no.8
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• pp.145-152
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• 2022

The current study investigates the effects of an interactive learning environment on EFL students' vocabulary acquisition and reading comprehension skills. The study utilized a quasi-experimental design. The sample consisted of 41 students enrolled in the English program at Umm Al-Qura University studying Reading in EFL course in Summer 2018/2019. The sample was randomly divided into two groups: A control group consisting of 21 students and an experimental group of 20 students. The results revealed statistically significant differences at (α≤ 0.01) between the mean scores of the experimental group and the control group in the posttest of the vocabulary test and the reading comprehension test favoring the experimental group. Finally, the study concluded with a call for more studies on modern technologies in teaching EFL skills in the Saudi context.

• Journal of Yeungnam Medical Science
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• v.7 no.2
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• pp.89-96
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• 1990

The purpose of this article was to determine the discriminant function analysis of the Korean Wechsler Intelligence Scale(KWIS) for 110 normal controls and 98 schizophrenics. Of special interest was to verify the clinical discriminant power of two subtests of the KWIS(Vacabulary and Digit Symbols) and Zung' s Self-rating Anxiety Scale(SAS). Four major hypotheses were postulated. The normal control group would show higher scores than the schizophrenics ; mean scores on both Vocabulary and Digit Symbol. The mean difference in Digit Symbol between the two groups would be greater than that in the Vacabulary. There would be no significant relation among Digit Symbol. Vacabulary. and Anxiety. The most powerful discriminant power would be expected from subtest of Digit Symbol. The mean discriminant scores were - 1.34425 for the control subjects. 1.34425 for the schizophrenics. The correctly discriminated percentage was 89.1% for the control subjects. 90.8% for the schizophrenics. From the findings it was concluded that both Digit Symbol and Vocabulary scales had strong diagnostic value but the former was more powerful than the latter. However. the Anxiety scales had less diagnostic value.

• Journal of the Korean Society for Library and Information Science
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• v.45 no.1
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• pp.211-232
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• 2011

Thesaurus, a well-known form of controlled vocabulary, has been widely used for indexing and searching of information during the last 50 years. There also have been developments of international and national standards to provide guidelines for developing thesaurus in diverse subject areas. In recent years, the revisions of thesaurus-related standards have been made. Among them are ISO 25964 and BS 8723. This article examines the current status of revision of these standards, and discusses its implications. Based on this examination, it suggests functional requirements of thesaurus in the present information environment, and also proposes elements needed for the development of these functions.