• Title/Summary/Keyword: Word order

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Relation Between Employees and Customers Affects to the Positive Word of Mouth Through Customer Satisfaction

  • NGUYEN, Minh Ha;TRAN, Ba Thinh;HUYNH, Luong Tam
    • Journal of Distribution Science
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    • v.17 no.6
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    • pp.65-75
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    • 2019
  • Purpose - Vietnamese customers have a crowd psychology when choosing and buying cars, they believe the advice and comments of those who have used the product. This paper aims to explore how factors in the relation between employees and customers affect to the customer's positive word of mouth (WOM) through customer satisfaction. Research design, data, and methodology - A survey was conducted with 250 customers. This research focus on six factors: (1) familiarity, (2) care, (3) personal connection, (4) employee competence, (5) customer satisfaction, (6) positive WOM. By using Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA) and Structural Equation Model (SEM), this research determined the impact of relation between eployees and customers to the customer satisfaction in order to have the positive WOM to another customers. Results - This result shows that 3 factors: care, personal connection and service quality, have positive effects to customer satisfaction. Moreover, the similar relationship is found between customer satisfaction and positive WOM. The familiarity is not significant in this research. Conclusions - The research results indicate that positive WOM has an important impact of market development for automobile business enterprises in Vietnam. Therefore, administrators should have appropriate strategies to encourage positive WOM to customers.

A Study on Automatic Extraction of Core Sentences from Document using Word Cooccurrence Graph (단어의 공기 관계 그래프를 이용한 문서의 핵심 문장 추출에 관한 연구)

  • Ryu, Je;Han, Kwang-Rok;Sohn, Seok-Won;Rim, Kee-Wook
    • The Transactions of the Korea Information Processing Society
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    • v.7 no.11
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    • pp.3427-3437
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    • 2000
  • In this paper,we propose an method of core sciences extractionusing word cooccrrence graph in order to summarize a document. For automatic extraction of core sentenees, we construct a mean cluster from word cooccurrence graph, and find insistence which corresponds a porposed of author. And then we extract keywords by using relationship between mean cluster and isistence. Finally, core senrences are sclected based on keywords and insitances. The esults are evaluated by comparing with manual extraction, and show that the extraction performance is improved about 10%.

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The development of the anomia assessment battery based on the psycholinguistic processing (언어심리학을 기반으로 한 명칭성 실어증 평가도구 개발)

  • Jung, Jae-Bum;Pyun, Sung-Bom;Sohn, Hyo-Jung;Gee, Sung-Woo;Cho, Sung-Ho;Nam, Ki-Chun
    • Proceedings of the KSPS conference
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    • 2007.05a
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    • pp.158-162
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    • 2007
  • Anomia, word finding difficulty, is one of the most common feature in aphasia. Previous studies support that the process of picture naming consists of three stages, in the order of the object recognition, semantic, and phonological output stages. Anomic patients have many symptoms and it means that anomia can be sub-divided into several symptom groups. Our anomia assessment battery consists of several parts: (1) picture naming set, (2) picture-word matching task, (3) lexical decision task for mental lexicon damage, (4) naming task for phonological lexicon damage, and (5) semantic decision task. Pictures and words were selected on the basis of usage frequency, semantic category, and word length. We administered this anomia evaluation battery to many anomic aphasics and we subdivided patients into several groups. We hope that our anomia evaluation set is useful and helpful for evaluation anomic aphasics

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Google speech recognition of an English paragraph produced by college students in clear or casual speech styles (대학생들이 또렷한 음성과 대화체로 발화한 영어문단의 구글음성인식)

  • Yang, Byunggon
    • Phonetics and Speech Sciences
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    • v.9 no.4
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    • pp.43-50
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    • 2017
  • These days voice models of speech recognition software are sophisticated enough to process the natural speech of people without any previous training. However, not much research has reported on the use of speech recognition tools in the field of pronunciation education. This paper examined Google speech recognition of a short English paragraph produced by Korean college students in clear and casual speech styles in order to diagnose and resolve students' pronunciation problems. Thirty three Korean college students participated in the recording of the English paragraph. The Google soundwriter was employed to collect data on the word recognition rates of the paragraph. Results showed that the total word recognition rate was 73% with a standard deviation of 11.5%. The word recognition rate of clear speech was around 77.3% while that of casual speech amounted to 68.7%. The reasons for the low recognition rate of casual speech were attributed to both individual pronunciation errors and the software itself as shown in its fricative recognition. Various distributions of unrecognized words were observed depending on each participant and proficiency groups. From the results, the author concludes that the speech recognition software is useful to diagnose each individual or group's pronunciation problems. Further studies on progressive improvements of learners' erroneous pronunciations would be desirable.

An Approach for Efficient Handwritten Word Recognition Using Dynamic Programming Matching (동적 프로그래밍 정합을 이용한 효율적인 필기 단어 인식 방법)

  • 김경환
    • Journal of the Korean Institute of Telematics and Electronics C
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    • v.36C no.4
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    • pp.54-64
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    • 1999
  • This paper proposes an efficient handwritten English word recognition scheme which can be applied practical applications. To effectively use the lexicon which is available in most handwriting related applications, the lexicon entries are introduced in the early stage of the recognition. Dynamic programming is used for matching between over-segmented character segments and letters in the lexicon entries. Character segmentation statistics which can be obtained while the training is being performed are used to adjust the matching window size. Also, the matching results between the character segments and the letters in the lexicon entries are cached to avoid repeat of the same computation. In order to verify the effectiveness of the proposed methods, several experiments were performed using thousands of word images with various writing styles. The results show that the proposed methods significantly improve the matching speed as well as the accuracy.

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A Study on the Characteristic of Logomark in Apparel Brand - Focused on Unisex Casual Brand - (의류 브랜드 로고마크의 특성에 관한 연구 - 유니섹스 캐주얼 브랜드를 중심으로 -)

  • Lee, Min-Gyung;Rha, Soo-Im
    • The Research Journal of the Costume Culture
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    • v.13 no.5 s.58
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    • pp.833-843
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    • 2005
  • The purpose of this study was to investigate the characteristic of logomark in unisex casual apparel brand. For this study, first 36 unisex casual apparel brands were selected from the Dictionary of Fashion Brand, second analyzed the common word showing in them. Third, the logomark of the unisex casual apparel brand were classified into two types according to the typeface character of the logomark, there were serif typeface, sans-serif typeface. Fourth, analyzed the relationship between the typeface image of logomark and brand concept. The results of the study were following : First, the common word that used the most frequently in brand concept were investigated and the order of common word was reasonable, comfort or natural, practical, modern, traditional and basic. Second, The unisex casual apparel brand used the most frequently the sans-serif typeface that represents the images of simple, modern and active sense in the typeface of logomark. Third, the unisex apparel brands used the most frequently English as brand name among the various languages. Fourth, the unisex casual apparel brands were lanuched mostly except several of them after 1990.

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An Automatic Classification System of Official Documents in Middle Schools Using Term Weighting of Titles (제목의 단어 가중치를 이용한 중등학교 공문서 자동분류시스템)

  • Kang, Hyun-Hee;Jin, Min
    • Journal of The Korean Association of Information Education
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    • v.7 no.2
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    • pp.219-226
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    • 2003
  • It takes a lot of time to classify official documents in schools and educational institutions. In order to reduce the overhead, we propose an automatic document classification method using word information of the titles of documents in this paper. At first, meaningful words are extracted from titles of existing documents and Inverse Document Frequency(IDF) weights of words are calculated against each category. Then we build a word weight dictionary. Documents are automatically classified into the appropriate category of which the sum of weights of words of the title is the highest by using the word weight dictionary. We also evaluate the performance of the proposed method using a real dataset of a middle school.

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Mapping between CoreNet and SUMO through WordNet (WordNet을 매개로 한 CoreNet-SUMO의 매핑)

  • Kang, Sin-Jae;Kang, In-Su;Nam, Se-Jin;Choi, Key-Sun
    • Journal of the Korean Institute of Intelligent Systems
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    • v.21 no.2
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    • pp.276-282
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    • 2011
  • CoreNet is a valuable resource to use in the domain of natural language processing including Korean-Chinese-Japanese multilingual text analysis, and translation among natural languages. CoreNet is mapped to SUMO in order to encourage its application in broader fields and enhance its international status as a multilingual lexical semantic network. To do this, indirect and direct mapping methodologies are used. Through the indirect mapping among CoreNet-KorLex-PWN-SUMO, we alleviate the difficulty of translating CoreNet concept terms in Korean into SUMO concepts in English, and maximize recall of SUMO concepts corresponding to the concept of CoreNet.

Phoneme distribution and syllable structure of entry words in the CMU English Pronouncing Dictionary

  • Yang, Byunggon
    • Phonetics and Speech Sciences
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    • v.8 no.2
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    • pp.11-16
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    • 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.

The Effect of Articulation Modification Program for Production /ㅅ/ of Hearing Disordered Students (조음조절 프로그램에 의한 청각장애학생의 /ㅅ/산출 개선)

  • Son, Jung-Min;Seok, Dong-Il;Park, Sang-Hee
    • Speech Sciences
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    • v.7 no.3
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    • pp.229-247
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    • 2000
  • The purpose of this study is to examine the improvement effect of articulation of the fricative consonant /s/(ㅅ), when applying the Articulation Modification Program (AMP) to hearing disordered students. Three hearing disordered students were selected for this study by the consonant picture and Korean Articulation Sentence tests. They have no defect in their emotion, behavior and sight. This program applied the multiple baseline design across subjects to examine the improvement effect of articulation of fricative consonant /s/(ㅅ). Also I designed th$\sim$s program with an advanced pre-test and post-test in order to research the improvement difference of articulation by articulation position and language unit. It was executed 32 sessions over three months, four sessions a week, one session taking forty minutes. The results according to the study subject are as follow; First, as result of AMP, articulation of all students was developed after applying this program. Second, as result of AMP, articulation in fore-word was one-hundred percent efficiency and articulation in middle-word was 97.7% efficiency by position. Third, as result of AMP, articulation in the word reached 98.7% efficiency, in phrase 97.7% efficiency, in the sentence 97.7% efficiency and in the story was 98.3% efficiency by language unit.

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