• Proceedings of the KSPS conference
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• 2007.05a
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• pp.91-94
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• 2007

This paper aims to analyze the pronunciation of Korean Point-of-Interest (POI) data, which consist of 224 sound files, from the phonological point of view, adapting the notion of prosodic word within the framework of Intonational Phonology. Each POI word is broken down into prosodic words, which are defined as the minimal sequence of segments which can be produced as one Accentual Phrase (AP). Then the pronunciation of the POI word considering its prosodic words are analyzed. The results show that: in most cases, a prosodic word is realized as one AP; that, in some cases, two prosodic words are pronounced as one AP: and that no cases are found where 3 prosodic words are realized as one AP.

• 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.

• Journal of the Korean Society of Clothing and Textiles
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• v.27 no.11
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• pp.1279-1290
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• 2003

The purpose of this study was to make a scale for measuring the subjective hand of fabrics. For this purpose subjective hand expressions which were published in the journals were reviewed. 11 pairs(9 biopolar-pairs, 2 unipolar-pairs) were selected after searching the definitions in a dictionary followed by focus group interview and survey. To find out if these terminological biopolar pairs are agreed with the biopolar pairs in human sensation, a survey of fabric hand was undertaken using a scale consisted of 20 words(18 words from biopolar-pairs, 2 words from unipolar pairs). Among 11 pairs, 10 pairs except [taktakhada-poksinhada] were accepted as biopolar pair of word terminologically and sensuously. [taktakhada-poksinhada] was recognized as a biopolar pair terminologically but not sensuously. These 20 words were classified as 5 factors-surface contour, density, flexibility, dampness, and extensibility

• Speech Sciences
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• v.15 no.2
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• pp.119-129
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• 2008

The purpose of this study were to develop short form versions of MacArthur-Bates Communicative Development Inventories - Korean and to discuss clinical implications. Two short versions were developed: one for $9\sim17$ month-olds(including 69 words and 17 object manipulation skills) and the other for $18\sim35$ month-olds (including 128 words and 5 grammatical items). Short versions seemed to be representative of full versions and showed developmental validity. Short versions showed concomitant validity with SELSI which is a standardized test for Korean children under 37 month-olds. Norm tables for words and criteria for object manipulation and grammaticality are also provided. M-B CDI-K short versions could be used as a preliminary screening tool to identify Korean children with language impairment economically and efficiently. Cautions using short versions of M-B CDI-K are discussed.

• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.11
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• pp.1558-1569
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• 2002

Two components of brand image are brand association related to brand properties and brand persona which is measured by descriptive words. The purpose of this study is to analyze the brand image of apparel by qualitative approach including natural grouping method suggested by Aaker. For this, face-to-face interviews were carried out in March and April 200l.11 interviewees were respectively asked to classify' pre-selected several tens of apparel brands based on their image differentiation, and then to explain the reason of grouping and to describe resultant brand groups. In this process, many brand image associations and brand persona-descriptive words were collected. 9 types of brand association were identified, and these were summarized as three factors suggested by Keller -attributes, benefits, and attitudes/evaluations. And 3 words which used to refer brand image frequently -dokteukhan (unique), simple, and yeosungseureowoon (feminine)- were interpreted in their meaning. Brand persona-descriptive words implied diverse meaning which were dependent on context.

• Journal of Korea Society of Digital Industry and Information Management
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• v.16 no.3
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• pp.25-36
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• 2020

Topics calculated using LDA topic modeling have to be labeled separately. When labeling a topic, we look at the words that represent the topic, and label the topic. Therefore, it is important to first make a good set of words that represent the topic. This paper proposes a method of calculating a set of words representing a topic using TextRank, which extracts the keywords of a document. The proposed method uses Relevance to select words related to the topic with discrimination. It extracts topic keywords using the TextRank algorithm and connects keywords with a high frequency of simultaneous occurrence to express the topic with a higher coverage.

• Phonetics and Speech Sciences
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• v.10 no.2
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• pp.1-6
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• 2018

The current study aimed to investigate the transfer of English word stress rules to the production of Korean trisyllabic words by L1 English learners of Korean. It compared English and Korean speakers' productions of seven Korean words from the corpus L2KSC (Rhee et al., 2005). To this end, it analyzed the syllable duration, intensity, and pitch. The results showed that English and Korean speakers' pronunciations differed markedly in duration and intensity. English learners produced word-initial syllables of greater intensity than Korean speakers, while Korean speakers produced word-final syllables of longer duration than English learners. However, these differences between the two speaker groups were not related to the expected L1 transfer. The tonal patterns produced by English and Korean speakers were similar, reflecting L1 English speakers' learning of the L2 Korean prosodic system.

• Phonetics and Speech Sciences
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• v.4 no.2
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• pp.3-20
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• 2012

The purpose of this study was to investigate whether a segmentation unit for a Korean noun is a 'syllable' and whether the process of segmenting spoken words occurs at the lexical level. A syllable monitoring task was administered which required participants to detect an auditorily presented target from visually presented words. In Experiment 1, syllable neighborhood density of high frequency words which can be segmented into both CV-CVC and CVC-VC were controlled. The syllable effect and the neighborhood density effect were significant, and the syllable effect emerged differently depending on the syllable neighborhood density. Similar results were obtained in Experiment 2 where low frequency words were used. The significance of word frequency effect on syllable effect was also examined. The results of Experiments 1 and 2 indicated that the segmentation unit for a Korean noun is indeed a 'syllable', and this process can occur at the lexical level.

• Phonetics and Speech Sciences
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• v.1 no.3
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• pp.109-115
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• 2009

Many isolated word recognition systems may generate non-similar words for recognition candidates because they use only acoustic information. In this paper, we investigate several techniques which can exclude non-similar words from N-best candidate words by applying Levenstein distance measure. At first, word distance method based on phone and syllable distances are considered. These methods use just Levenstein distance on phones or double Levenstein distance algorithm on syllables of candidates. Next, word similarity approaches are presented that they use characters' position information of word candidates. Each character's position is labeled to inserted, deleted, and correct position after alignment between source and target string. The word similarities are obtained from characters' positional probabilities which mean the frequency ratio of the same characters' observations on the position. From experimental results, we can find that the proposed methods are effective for removing non-similar words without loss of system performance from the N-best recognition candidates of the systems.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.10a
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• pp.407-429
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• 2004

As documents in webs are increasing explosively due to the rapid development of electronic documents, an efficient system classifying documents automatically is required. In this study, a new document classification method, which is called Document Finger Print Method, is suggested to classify web documents automatically and efficiently. The performance of the suggested method is evaluated alone with other existing methods such as key words based method, weighted key words based method, neural networks, and decision trees. An experiment is designed with 10 documents categories and 59 randomly selected words. The result shows that the suggested algorithm has a superior classifying performance compared to other methods. The most important advantage of this method is that the suggested method works well without the size limits of the number of words in documents.