• Proceedings of the KSPS conference
• /
• 2005.11a
• /
• pp.131-135
• /
• 2005

Previous studies on the bilinguals' lexical selection have suggested some evidence in favor of language-specific hypothesis. The purpose of this study was to see whether Korean-English bilinguals' semantic systems of Korean and English are shared or separated between the two languages. In a series of picture-word interference tasks, participants were to name the pictures in Korean or in English with distractor words printed either in Korean or English. The distractor words were either semantically identical, related, unrelated to the picture, or nonexistant. The response time of naming was facilitated when distractor words were semantically identical for both same-(Naming pictures in English/korean with English/Korean distractor words) and different-language pairs(Naming pictures in English with Korean distractor words and vice versa). But this facilitation effect was stronger when naming was produced in their native language, which in this case was Korean. Also, inhibitory effect was shown when the picture and its distractor word were semantically related in both same- and different-language paired conditions. These results show that bilinguals'two lexicons compete to some extent when selecting the target word. In this viewpoint, it can be concluded that the lexicons of either languages may not be entirely but partly overlapping in bilinguals.

• Cross-Cultural Studies
• /
• v.39
• /
• pp.355-380
• /
• 2015

China has been experiencing a series of changes after gradually opening up its society. Such changes have now seeped into almost every sector of the society, leading to overall change. While the political system has been maintained without much change, the structure of life for Chinese has undergone a shift, especially in the sectors related to industry or the economy. The Chinese have adopted capitalism in their own way, leading to fast growth in their industries. Those who were born in the 1980s amidst such change (so-called the post-80s generation) are now playing a major role in Chinese society. Understanding this generation can help understand some of the most important phenomena in today's China. Therefore the language used by this generation is in particular meaningful as language often reflects the society it is used in. This study focuses on the newly created words arising from the lifestyles of the post-80s generation to better understand how the China's move towards a more open society over the past three decades have brought about changes. The work culture and consumption styles of the post-80s generation are also showing some collective characteristics. As such, a review of newly created Chinese words related to this generation is expected to increase understanding of the overall Chinese society and Chinese culture of today.

• Korean Journal of Child Studies
• /
• v.28 no.4
• /
• pp.73-95
• /
• 2007

Causal relationships of kindergarteners' phonological awareness and processing to their ability to read words was investigated with the participation of 289 4- to 6-year-old children attending three kindergartens in Busan. Results showed gradual growth in reading ability with age. Children performed best in reading words and poorest in reading low frequency letters. They showed continuous development in skills of syllable deletion, phoneme substitution, phoneme insertion, phonological memory and naming. Discontinuous development was found in counting syllables. Longer syllables were difficult to count, and middle syllables of 3 syllable words were hard to delete. Children had poor perception of final consonants of Consonant-Vowel-Consonant syllables. Children's phonological awareness and processing were latent variables strongly related to ability to read words written in Hangul.

• Journal of the Korea Safety Management & Science
• /
• v.14 no.3
• /
• pp.221-227
• /
• 2012

This research is a key words analysis on Radio Frequency Identification. Key words were collected from Korean research papers in the electronic library DBpia. 700 papers published from 2001 to 2011 were included. The number of collected key words is 1460. The trend of publishing research papers was increased rapidly from 2005, reached peak at 2009 and decreased after 2010. Majority of key words were related to hardware, information technology and standardization. Selected 128 key words were analyzed and clustered by social network analysis to find a relationship among key words on RFID.

• Journal of the Korean Wood Science and Technology
• /
• v.51 no.6
• /
• pp.458-469
• /
• 2023

Text mining techniques provide valuable insights into research information across various fields. In this study, text mining was used to identify research trends in wood science from 2012 to 2022, with a focus on representative journals published in Korea and Japan. Abstracts from Journal of the Korean Wood Science and Technology (JKWST, 785 articles) and Journal of Wood Science (JWS, 812 articles) obtained from the SCOPUS database were analyzed in terms of the word frequency (specifically, term frequency-inverse document frequency) and co-occurrence network analysis. Both journals showed a significant occurrence of words related to the physical and mechanical properties of wood. Furthermore, words related to wood species native to each country and their respective timber industries frequently appeared in both journals. CLT was a common keyword in engineering wood materials in Korea and Japan. In addition, the keywords "MDF," "MUF," and "GFRP" were ranked in the top 50 in Korea. Research on wood anatomy was inferred to be more active in Japan than in Korea. Co-occurrence network analysis showed that words related to the physical and structural characteristics of wood were organically related to wood materials.

• Science of Emotion and Sensibility
• /
• v.12 no.2
• /
• pp.215-224
• /
• 2009

This research extracted emotional words for measuring user's emotions expressed while using a cellular phone and a web. And then the emotional words were compared to find out whether the difference in emotional words by the type of products. The results of this study suggest that the hardware-oriented products used for specific purpose such as cellular phone extracted a lot of emotional words related to 'Satisfaction in Usability' and 'Pleasure'. 'Satisfaction in Usability' are conceived satisfying in usability or practicality of product. 'Pleasure' are pleasant emotions expressed while using a product. However the emotional words related to 'Aesthetics' and 'Novelty' were omitted. 'Aesthetics' are expressed by product's appearance and by various visual information while using a product. 'Novelty' are expressed by something that is novel and new that has never been experienced. On the other hand the software-oriented products used rather to find something better and new information than to perform specific tasks such as web extracted a lot of emotional words related to 'Novelty'. Therefore, the results of this research have found evidence that it is desirable to make a set of subjective evaluation scale by the type of products. When making the subjective evaluation scale, it is important to use appropriate emotional words for the purpose of use and the characteristics of those products.

• Korean Institute of Interior Design Journal
• /
• v.19 no.4
• /
• pp.3-10
• /
• 2010

The purpose of this study is to select and analyze words that represent various emotional states towards a spatial environment. Selecting appropriate words for the sensibility evaluation of a spatial environment is a process of constructing sensibility indicators, so that an accurate selection of sensibility words is very important. To collect basic words for this study, words for expressing sensation, emotional states, and sensibility regarding a spatial environment have been collected first via free association and a literature review of previous studies. In the second stage, the selected words are refined. Fifteen evaluators have participated in the first process of refining words, 140 college students participated in the second process, and than the final list of 277 refined words has been selected. During the third stage, 15 specialists were asked to evaluate the appropriateness of sensibility evaluation words, for that 7 point-scale has been applied. Then, 99 words with an average point of 4.55 or more and a standard deviation of 1.55 or lower were selected. After investigating the similarity in the meanings of the selected words, 55 pairs of contrasting words have been selected as a final list of sensibility evaluation words. During this last stage, 307 college students majoring in related fields were asked to evaluate the appropriateness of sensibility evaluation words for a spatial environment, and 7 point-scale was obtained. A factor analysis, cluster analysis, and multidimensional analysis have been conducted on the data obtained from these survey. According to the results of the factor analysis, the eight important factors are obtained from the sensibility evaluation criteria of a spatial environment(form, texture, function, value, comfort, aesthetics, atmosphere, and affinity). The factors obtained from this study can be used in the beginning stage of evaluating the sensibility factors of a spatial environment. In addition, the results of this study can be used as basic data when constructing a list of evaluation indicators to select various complex sensibility words for a space; or as general indicators when evaluating various spatial design factors.

• The Journal of the Korea Contents Association
• /
• v.11 no.11
• /
• pp.120-129
• /
• 2011

This research aims to investigate the representative affective words and the structure among them to scrutinize user's affect revealed in the ride film based on three dimension stereoscopic image. Previous studies related to the affect were reviewed and the affect words well-suited for three dimension stereoscopic image were collected. Suitability test for two hundred six basic affect words gathered as the result was done from sixty two typical users and four experts. Seventy seven candidate affect words have been selected and by the exclusion of similarity among them, finally twenty six words were extracted from the reduction process. Consequently fifteen representative words and the structure as the network between each word were revealed by using free association test based on twenty six affect words. We propose the affect research including sensors, emotions, and affects related to moving image rather than still mage during doing research affects in most of the previous studies. The future work includes the affect space and the affect effect for ride film based on three dimension stereoscopic image. This study can be adopted practically in the production of ride films and provided with a basic design guideline.

• The Journal of Information Systems
• /
• v.30 no.1
• /
• pp.45-64
• /
• 2021

Purpose The traditional topic modeling technique makes it difficult to distinguish the semantic of topics because the key words assigned to each topic would be also assigned to other topics. This problem could become severe when the number of online reviews are small. In this paper, the extended model of topic modeling technique that can be used for analyzing a small amount of online reviews is proposed. Design/methodology/approach The extended model of being proposed in this paper is a form that combines the traditional topic modeling technique and the Word2Vec technique. The extended model only allocates main words to the extracted topics, but also generates discriminatory words between topics. In particular, Word2vec technique is applied in the process of extracting related words semantically for each discriminatory word. In the extended model, main words and discriminatory words with similar words semantically are used in the process of semantic classification and naming of extracted topics, so that the semantic classification and naming of topics can be more clearly performed. For case study, online reviews related with Udo in Tripadvisor web site were analyzed by applying the traditional topic modeling and the proposed extension model. In the process of semantic classification and naming of the extracted topics, the traditional topic modeling technique and the extended model were compared. Findings Since the extended model is a concept that utilizes additional information in the existing topic modeling information, it can be confirmed that it is more effective than the existing topic modeling in semantic division between topics and the process of assigning topic names.

• Phonetics and Speech Sciences
• /
• v.8 no.2
• /
• pp.11-16
• /
• 2016

This study explores the phoneme distribution and syllable structure of entry words in the CMU English Pronouncing Dictionary to provide phoneticians and linguists with fundamental phonetic data on English word components. Entry words in the dictionary file were syllabified using an R script and examined to obtain the following results: First, English words preferred consonants to vowels in their word components. In addition, monophthongs occurred much more frequently than diphthongs. When all consonants were categorized by manner and place, the distribution indicated the frequency order of stops, fricatives, and nasals according to manner and that of alveolars, bilabials and velars according to place. These results were comparable to the results obtained from the Buckeye Corpus (Yang, 2012). Second, from the analysis of syllable structure, two-syllable words were most favored, followed by three- and one-syllable words. Of the words in the dictionary, 92.7% consisted of one, two or three syllables. This result may be related to human memory or decoding time. Third, the English words tended to exhibit discord between onset and coda consonants and between adjacent vowels. Dissimilarity between the last onset and the first coda was found in 93.3% of the syllables, while 91.6% of the adjacent vowels were different. From the results above, the author concludes that an analysis of the phonetic symbols in a dictionary may lead to a deeper understanding of English word structures and components.