• 대한음성학회:학술대회논문집
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• 대한음성학회 2002년도 11월 학술대회지
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• pp.97-100
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• 2002

The purpose of this paper is to investigate the unit of neighbor of Korean words. In English, a word's orthographic neighborhood is defined as the set of words that can be created by changing one letter of the word while preserving letter positions. For example, the words like pike, pole, and tile are all orthographic neighbors of the word 'pile'. In this study, 2 experiments were performed. In these experiments, 4 conditions of prime were included: primes sharing first letter of first syllable(1), first syllable(2), first syllable and the first letter of second syllable with target(3) and with no formal similarity with target(4). In Exp.1, RT was shortest in condition 3. In Exp.2, condition 2 had the shortest RT. We came to the conclusion that in Korean, a word's neighbor is words that share at least one syllable with the word.

• International Journal of Contents
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• 제8권3호
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• pp.71-78
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• 2012

The emergence of the Internet has provided a new outlet for consumers who experience service failure from products and services, augmenting the traditional options of entry, voice and action. Consumers' negative word of mouth through online (word-of-mouse or eWOM) far exceeds traditional word of mouth (WOM) in respect of its potential effectiveness, speed and spread. This paper tries to figure out the service failure themes in the health care industry by analyzing online word-of-mouse using the critical incidents technique (CIT). Complaint themes in the area of healthcare are identified and analyzed. The results identify that major complaint theme differed according to the site type. Also, the findings indicate that delivery and customer services are critical issues when consumer makes negative WOM.

• 대한음성학회지:말소리
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• 제53호
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• pp.61-74
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• 2005

In the present study, the intelligibility of the synthesized speech sounds was evaluated by using the psycholinguistic and fMRI techniques. In order to see the difference in recognizing words between the natural and synthesized speech sounds, word regularity and word frequency were varied. The results of Experiment1 and Experiment2 showed that the intelligibility difference of the synthesized speech comes from word regularity. In the case of the synthesized speech, the regular words were recognized slower than the irregular words, and there was smaller activation of the auditory areas in brain for the regular words than for the irregular words.

• 말소리와 음성과학
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• 제8권1호
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• pp.19-24
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• 2016

The Korean high back vowels /o/ and /u/ have been reported to be in a state of near-merger especially among young female speakers. Along with cross-generational changes, the vowel position within a word has been reported to render different phonetic realization. The current study examines native English speakers' ability to attend to the phonetic cues that distinguish the two merging vowels and the positional effects (word-initial vs. word-final) on the identification accuracy. 28 two-syllable words containing /o/ or /u/ in either initial or final position were produced by native female Korean speakers. The CV part of each target word were excised and presented to six native English speakers. The results showed that although the identification accuracy was the lowest for /o/ in word- final position (41%), it increased up to 80% in word-initial position. The acoustic analyses of the target vowels showed that /o/ and /u/ were differentiated on the height dimension only in word-initial position, suggesting that English speakers may have perceived the distinctive F1 difference retained in the prominent position.

• 한국언어정보학회지:언어와정보
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• 제9권2호
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• pp.23-48
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• 2005

This study aims to discuss the word sense distinction of Korean middle verbs for restructuring KorLexVerb 1.0. Despite the duality of its meaning and syntactic structure, the word senses of middle verb are not clearly distinguished in current dictionaries. The underspecification causes very often mismatches that a same Korean word sense is used for two different English verb senses. A close examination on the syntactic and semantic properties of middle verb shows us that the word sense distinction and the reconstruction of hierarchical structure are indispensable. Finally, by doing this fine grained word sense distinction, we propose an alternative way of classification and description of the verb polysemy for KorLexVerb 1.0 as well as for dictionary-like language resources.

• 음성과학
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• 제13권4호
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• pp.143-155
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• 2006

Recently, many researchers have been interested in children with phonological disorders. The purpose of this study was to examine those children in comparison with normal children and to find better assessment criteria of the whole-word approach. Three children with phonological disorders and three normal children of 5 to 7 years old participated in the picture description tasks. Results of this study were as follows: there was a significant difference in the whole-word assessment between normal and phonological disorder children. Such criteria as whole-word correctness, whole-word complexity, whole-word intelligibility proved to be good for diagnosing children's phonological disorders. Further studies would be desirable to apply the approach to more children of various age groups.

• The Journal of the Acoustical Society of Korea
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• 제26권1E호
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• pp.21-26
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• 2007

In this paper, we propose a modified Viterbi algorithm to compensate for endpoint detection error during the decoding phase of an isolated word recognition task. Since the conventional Viterbi algorithm explores only the search space whose boundaries are fixed to the endpoints of the segmented utterance by the endpoint detector, the recognition performance is highly dependent on the accuracy level of endpoint detection. Inaccurately segmented word boundaries lead directly to recognition error. In order to relax the degradation of recognition accuracy due to endpoint detection error, we describe an unconstrained search of word boundaries and present an algorithm to explore the search space with efficiency. The proposed algorithm was evaluated by performing a variety of simulated endpoint detection error cases on an isolated word recognition task. The proposed algorithm reduced the Word Error Rate (WER) considerably, from 84.4% to 10.6%, while consuming only a little more computation power.

• 한국컴퓨터정보학회논문지
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• 제23권11호
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• pp.31-41
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• 2018

Text classification has been studied for a long time in the Natural Language Processing field. In this paper, we propose an article- and paragraph-level genre classification system using Word2Vec-based LSTM, GRU, and CNN models for large-scale English corpora. Both article- and paragraph-level classification performed best in accuracy with LSTM, which was followed by GRU and CNN in accuracy performance. Thus, it is to be confirmed that in evaluating the classification performance of LSTM, GRU, and CNN, the word sequential information for articles is better than the word feature extraction for paragraphs when the pre-trained Word2Vec-based word embeddings are used in both deep learning-based article- and paragraph-level classification tasks.

• 음성과학
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• 제8권2호
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• pp.83-90
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• 2001

We proposed a probabilistic approach of using syllable bigrams to the word-spacing problem. Syllable bigrams are extracted and the frequencies are calculated for the large corpus of 12 million words. Based on the syllable bigrams, we performed three experiments: (1) automatic word-spacing, (2) detection and correction of word-spacing errors for spelling checker, and (3) automatic insertion of a space at the end of line in the character recognition system. Experimental results show that the accuracy ratios are 97.7 percent, 82.1 percent, and 90.5%, respectively.

• 한국컴퓨터정보학회지
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• 제2권2호
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• pp.19-26
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• 1996

윈도우 등 GUI 환경이 급속히 보급됨에 따라 워드프로세서도 매우 발전하고 있다. 이에 따라 본 논문에서는 현재 보급된 윈도우용 워드프로세서를 분석하여 문제점과 개선점을 제시하고 멀티미디어 시대에 대응한 워드프로세서의 방향에 대하여 고찰하고자 한다.