• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2000.11a
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• pp.13-19
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• 2000

본 연구에서는 시각 표시정보 중에서 제목용 한글에 대하여 감성어휘들을 조사하고, 의미분별법을 이용하여 한글의 설계요소들과 감성어휘들간의 관계를 다변량 통계방법을 통하여 분석하였다. 제목용 글자는 가로와 세로의 크기가 동일한 정체 중 크기가 24poin1인 낱 글자와 두 글자 단어를 이용하였다. 한글의 설계요소는 네모 형태이면서 글자 줄기에 세리프가 있는 명조 설계요소, 직각 형태인 고딕 설계요소, 둥근 형태인 굴림 설계요소와 탈 네모 형태이면서 세리프가 있는 공한 설계요소로 한정하였다. 총 420명(남자 210명, 여자 210명)의 피실험자를 대상으로 하여, 각 설계요소별로 요인분석을 통한 의미공간과 요인과 감성어휘 간의 관계를 파악하였다. 그리고 설계요소별로 23개의 감성어휘에 대한 감성차이와 남녀 간의 감성차이를 파악하기 위하여 ANOVA와 T-TEST 분석을 하였다.

• The Journal of Society for e-Business Studies
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• v.19 no.4
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• pp.1-19
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• 2014

Efforts to identify user's recognition which exists in the big data are being conducted actively. They try to measure scores of people's view about products, movies and social issues by analyzing statements raised on Internet bulletin boards or SNS. So this study deals with the problem of determining how to find the emotional vocabulary and the degree of these values. The survey methods are using the results of previous studies for the basic emotional vocabulary and degree, and inferring from the dictionary's glosses for the extended emotional vocabulary. The results were found to have the 4 emotional words lists (vocabularies) as basic emotional list, extended 1 stratum 1 level list from basic vocabulary's glosses, extended 2 stratum 1 level list from glosses of non-emotional words, and extended 2 stratum 2 level list from glosses' glosses. And we obtained the emotional degrees by applying the weight of the sentences and the emphasis multiplier values on the basis of basic emotional list. Experimental results have been identified as AND and OR sentence having a weight of average degree of included words. And MULTIPLY sentence having 1.2 to 1.5 weight depending on the type of adverb. It is also assumed that NOT sentence having a certain degree by reducing and reversing the original word's emotional degree. It is also considered that emphasis multiplier values have 2 for 1 stratum and 3 for 2 stratum.

• The Journal of the Korea Contents Association
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• v.21 no.12
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• pp.132-139
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• 2021

This corpus-driven research expounded the compilation of the most frequently occurring academic words in the domain of syntax and compared the extracted wordlist with Academic Word List(AWL) of Coxhead(2000) and General Service List(GSL) of West(1953) to examine their distribution and coverage within the syntax corpus. A specialized 546,074 token corpus, composed of widely used must-read syntax textbooks for English education majors, was loaded into and analyzed with AntWordProfiler 1.4.1. Under the parameter of lexical frequency, the analysis identified 288(50.5%) AWL word forms, appeared 16 times or more, as well as 218(38.2%) AWL items, occurred not exceeding 15 times. The analysis also indicated that the coverage of AWL and GSL accounted for 9.19% and 78.92% respectively and the combination of GSL and AWL amounted to 88.11% of all tokens. Given that AWL can be instrumental in serving broad disciplinary needs, this study highlighted the necessity to compile the domain-specific AWL as a lexical repertoire to promote academic literacy and competence.

• Education of Primary School Mathematics
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• v.27 no.1
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• pp.75-90
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• 2024

This study analyzed the vocabularies presented in the 1st to 2nd grade elementary school mathematics field review textbook according to the 2022 revised curriculum using a 9th grade vocabulary system and improved them. The result of the analysis shows that the frequency of vocabulary that was not appropriate for the students' level was found to be 6.67% in the first semester of the first year and 12.17% in the second semester of the first year. For the first semester of the second year, it was 11.73%, and for the second semester of the second year, it was 14.19%. This shows that the frequency of vocabulary that may be difficult for students gradually increases. Based on the analysis results, vocabulary that had a high difficulty level but was not essential in the textbook was deleted, and essential vocabulary or vocabulary that was difficult for students was presented with pictures added or revised in more detail. In addition, words that can be modified with similar words with low lexical difficulty were replaced and presented. In this way, research on vocabulary difficulty can identify aspects of vocabulary used in textbooks and can help develop high-quality textbooks by appropriately modifying vocabulary for effective mathematics learning.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.12
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• pp.865-872
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• 2013

Two-level morphology analysis method is one of rule-based morphological analysis method. This approach handles morphological transformation using rules and analyzes words with morpheme connection information in a lexicon. It is independent of language and Korean Two-level system was also developed. But, it was limited in practical use, because of using very small set of lexicon built manually. And it has also a over-generation problem. In this paper, we propose an automatic construction method of Korean Two-level lexicon for PC-KIMMO from morpheme tagged corpus. We also propose a method to solve over-generation problem using lexical information and sub-tags. The experiment showed that the proposed method reduced over-generation by 68% compared with the previous method, and the performance increased from 39% to 65% in f-measure.

• Annual Conference on Human and Language Technology
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• 2001.10d
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• pp.479-486
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• 2001

동음이의어 간의 서로 다른 의미를 효율적으로 변별해 줄 수 있는 방법 중 하나로 어휘의미분석 말뭉치의 활용을 들 수 있다. 이는 품사 단위의 중의성을 해소해 줄 수 있는 형태소 분석 말뭉치를 기반으로, 이 단계에서 해결하지 못하는 어휘적인 중의성을 해결한 것으로, 보다 정밀한 언어학적 연구와 단어 의미의 중의성 해결(word sense disambiguation) 등 자연언어처리 기술 개발에 사용될 수 있는 중요한 언어 자원이다. 본 연구는 실제로 어휘의미분석 말뭉치를 구축하기 위한 기반 연구로서, 어휘의미분서 말뭉치의 설계와 구축 방법론상의 제반 사항을 살펴보고, 중의적 단어들의 분포적 특징과 단어의 중의성 해결 단계에서 발생할 수 있는 문제점을 지적하고, 아울러 그 해결 방법을 모색해 의는 것을 목적으로 한다.

• Journal of Science Education
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• v.45 no.3
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• pp.317-325
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• 2021

The purpose of this study is to analyze the readability of the 2015 revised elementary science textbooks at the vocabulary and sentence levels, and to provide an opportunity to use vocabulary and sentences with an appropriate level of readability for writing textbooks in the future. To do this, the readability of the 2015 revised elementary science textbook was analyzed and the vocabulary and sentence level the readability of sentences defining scientific terminology were analyzed. The results were then compared to the readability of previous curriculum textbooks. The results are as follows: first, the grade average of vocabulary remained at 1.5-2.1, with vocabulary appropriate to the elementary school level being used on average. However, grades 4 to 5 vocabulary are distributed at a relatively high rate. Second, the sentence-level analysis shows that the sentence lengths for the third and fifth grades were relatively long and the percentage of simple sentences was low. Third, compared to other curriculum textbooks, it was confirmed that the proper level of readability was maintained at the vocabulary level, but that the sentence lengths and the percentage of simple sentences could adversely affect the readability of third-grade science textbooks.

• Proceedings of the Korean Information Science Society Conference
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• 2003.10a
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• pp.556-558
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• 2003

초등학생들에게 읽기 교과서는 어휘 습득에 있어 의도적인 자료의 시작으로, 그 어휘를 조사, 계량화하는 일의 의미는 매우 크다고 할 수 있다. 어휘 조사 과정의 중요한 작업은 많은 양의 자료를 색인, 계량하는 일이다. 이러한 자료 처리에 컴퓨터를 이용하면, 많은 부분을 자동화 할 수 있으며. 분석된 자료를 이용하여 다양한 작업이 가능할 것이다. 많은 양의 자료를 원활하게 처리하기 위해서는 적절한 도구가 필수적이다 이에 어휘 조사 과정을 보다 편리하게 하고, 자동으로 처리할 수 있으며, 만들어진 자료를 재활용 할 수 있는 어휘 조사 도구를 설계하게 되었다.

• Journal of Korea Multimedia Society
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• v.13 no.11
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• pp.1586-1593
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• 2010

Vocabulary recognition error correction method has probabilistic pattern matting and dynamic pattern matting. In it's a sentences to based on key-word by semantic analysis. Therefore it has problem with key-word not semantic analysis for morphological changes shape. Recognition rate improve of vocabulary unrecognized reduced this paper is propose. In syllable restoration algorithm find out semantic of a phoneme recognized by a phoneme semantic analysis process. Using to sentences restoration that morphological analysis and morphological analysis. Find out error correction rate using phoneme likelihood and confidence for system parse. When vocabulary recognition perform error correction for error proved vocabulary. system performance comparison as a result of recognition improve represent 2.0% by method using error pattern learning and error pattern matting, vocabulary mean pattern base on method.

• Communications of Mathematical Education
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• v.37 no.4
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• pp.675-695
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• 2023

To learn mathematics effectively, understanding vocabulary is essential. Accordingly, as a way to present vocabulary for mathematics education, high-frequency vocabulary was extracted from the 2009 revised 1st and 2nd grade mathematics textbooks and the 2015 revised 1st and 2nd grade mathematics textbooks. At this time, mathematics textbooks were analyzed by grade and semester, and vocabulary with a common frequency of 5 or more was extracted. In order to use it effectively in school settings, common vocabulary for each grade and intensive vocabulary for each semester were presented. As a result of the study, 61 vocabulary words for first grade education and 121 vocabulary words for second grade education were selected. As a result of analysis by vocabulary level, various levels of vocabulary from grades 1 to 5 were used. As a result of analysis by vocabulary type, the proportion of academic words increased similarly, but the proportion of technical words was found to be highest in the first semester of the second year. Based on these results, the extracted vocabulary for mathematics education is used as a resource for vocabulary instruction for students' mathematics education in each grade to help students learn mathematics.