• 중국학논총
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• no.64
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• pp.53-73
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• 2019

In the teaching of Chinese characters, making full use of the phonetic function of phonetic symbols can help learners improve their learning efficiency. The research on the characteristics of phonetic symbols and the rules of their construction is the premise of teaching Chinese characters with phonetic symbols. The phonetic symbols that can accurately prompt the pronunciation of the whole word and the homophone characters that they constitute provide the applicable materials for the teaching of Chinese characters. The split method simply and intuitively reflects the internal relationship among shape, sound and meaning in pictophonetic characters. "The analogy method of homophonic character group" and "the converse method of homophonic character group" are the combination of the function of the sound prompt and the characteristics of the analogy and induction of homophonic character, which can not only help students save the time of memorizing the sound, but also effectively increase the amount of literacy. The quantitative analysis of phonetic symbols and homophone symbols is of great significance to the classification of Chinese characters and the improvement of textbook editing.

• Phonetics and Speech Sciences
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• v.4 no.2
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• pp.41-49
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• 2012

The purpose of this paper is to extract the vowel formants of the ten young male speakers from the Buckeye Corpus of Conversational Speech [1] and to analyze them in comparison to earlier works in terms of various phonetic factors that are expected to affect the realization of the formant distribution. The first two formant frequency values were automatically extracted with a Praat script along with such factors as the place of articulation, the content versus function word information, syllabic stress information, the location in a word, location in utterance, speech rate of three consecutive words, and the word frequency in the corpus. The results indicated that the formant patterns from the corpus were very different from those of earlier works although the overall pattern was similar and that the factors were strongly responsible for the realization of the two formants. The purpose of this paper is to extract the vowel formants of the ten young male speakers from the Buckeye Corpus of Conversational Speech [1] and to analyze them in comparison to earlier works in terms of various phonetic factors that are expected to affect the realization of the formant distribution. The first two formant frequency values were automatically extracted with a Praat script along with such factors as the place of articulation, the content versus function word information, the syllabic stress information, the location in a word, the location in an utterance, the speech rate of the three consecutive words, and the word frequency in the corpus. The result indicated that the formant patterns from the corpus were very different from those of earlier works although the overall pattern was similar and that the factors were strongly responsible for the realization of the two formants.

• Journal of English Language & Literature
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• v.55 no.4
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• pp.539-565
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• 2009

T. S. Eliot attempted the combining of the liturgy of Anglican Church and a drama in Murder in the Cathedral (1935) and created a modern verse drama which comes most close to the regular tragedy like Greek tragedy today. Eliot chose the drama to deliver his religious insight because of its ritualistic origin and its potentiality to deliver a dramatic world which can contain a complete order. The central theme of this play is the martyrdom. The dramatic action of killing the archbishop Thomas Beckett in this play, however, is not treated as important event enough to be a dramatic climax. He is portrayed as a witness to the reality of God's will rather than a man who wills to give up his own life for any religious belief or cause. In Eliot, a martyr is nothing but "a witness" in its ancient sense. This paper purposes to review the language of this play. The various and new meters and rhythms of the language of this play function enough to bring its playwright to encounter 'the real audience' in 'a living theatre'. The interactions between different verbal models also play a big role to make this play a living theatre. Eliot found the poetry which crosses the various classes and levels of the tastes of audience is the most useful poetry. And the poetry of this play proves as the very thing which intensifies the theme of the play and gives the most powerful force to the play. Especially Eliot's poetry succeeds smost in the various and free meters of chorus, which makes Eliot the first playwright since Aeschylus, who could bring the chorus to undertake the function of extending the dramatic action of the play into the universal meaning. In the theatre the real audience identifies themselves with chorus. And the chorus leads the audience to respond to peace which passeth understanding beyond words and sounds of this play, which is the desired response in Eliot's conception of drama.

• The Journal of Society for e-Business Studies
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• v.14 no.4
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• pp.1-17
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• 2009

E-Catalogs which describe products or services are one of the most important data for the electronic commerce. E-Catalogs are created, updated, and removed in order to keep up-to-date information in e-Catalog database. However, when the number of catalogs increases, information integrity is violated by the several reasons like catalog duplication and abnormal classification. Catalog search, duplication checking, and automatic classification are important functions to utilize e-Catalogs and keep the integrity of e-Catalog database. To implement these functions, probabilistic models that use statistics of index words extracted from e-Catalogs had been suggested and the feasibility of the methods had been shown in several papers. However, even though these functions are used together in the e-Catalog management system, there has not been enough consideration about how to share common data used for each function and how to effectively manage statistics of index words. In this paper, we suggest a method to implement these three functions by using simple SQL supported by relational database management system. In addition, we use materialized views to reduce the load for implementing an application that manages statistics of index words. This brings the efficiency of managing statistics of index words by putting database management systems optimize statistics updating. We showed that our method is feasible to implement three functions and effective to manage statistics of index words with empirical evaluation.

• Journal of Korean Ophthalmic Optics Society
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• v.20 no.4
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• pp.415-423
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• 2015

Purpose: We conducted a study on the brand name types of optical shop in the region of Daegu to exploit the data necessary for a new brand naming. Methods: The characteristics of the names including the concept and function, phrasing compositions - whether the names are Korean words, English words or combination of the two, or others, and whether the names are descriptive, allusive or coined, alternative names, and most frequently used names were studied and analyzed. Results: For those in Korean words, the most frequently appeared consonant was 'ㅇ' then 'ㅅ'. In combination words, either in Korean and English combination or others, 57.1% of the names were in Korean, or 32.7% of the names were in English. As for number of syllables, 3 syllables consumed 30.4% and 2 and 4 syllables were in similar proportions of 29.7% and 25.0%, respectively. The proportions of allusive and descriptive names were 17.0% and 13.3%, respectively. As for alternative creation type, the type with combination of words came first, and then use of symbols came second. For other types, there were high number of brand names that contained the names of other business types and names of the districts in which the stores were located. Lastly, the most frequently used keyword was 'eye', which was used 45 times, and then came 'dang' and 'angyeong'. Conclusions: When starting a business and making an appropriate brand name, it must be easy to say and remember as well as meaningful. As such, a brand name for an optical shop should not only be creative, but also be associated with the business and emanate favorable impression.

• The Journal of the Korea Contents Association
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• v.17 no.6
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• pp.408-414
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• 2017

This paper aims to investigate the value and resilience of Nogeoldae which was written at the end of Koryo dynasty and has been used as the most important foreign language education materials throughout the 500 years of Chosun dynasty. To this end, 106 volumes of dialogues, 12 of meeting, 17 of lodging, 21 of Daedo bound, 34 of Daedo lives and 11 of return in Nogeoldae are analyzed by an average length of the sentences, an average length of words, type-token ratio, number of words before main verbs and number of words before nouns to identify the progressive degree of the complexity. The result of the analysis shows that Nogeoldae presents a desired progressive complexity found in modern foreign language textbooks.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.38 no.1
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• pp.97-103
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• 2001

Hidden Markov Model (HMM) is the most widely used method in speech recognition. In general, HMM parameters are trained to have maximum likelihood (ML) for training data. Although the ML method has good performance, it dose not take account into discrimination to other words. To complement this problem, a word verification method by re-recognition of the recognized word and its similar word using the discriminative function of the two words. To find the similar word, the probability of other words to the HMM is calculated and the word showing the highest probability is selected as the similar word of the mode. To achieve discrimination to each word the weight to each state is appended to the HMM parameter. The weight is calculated by genetic algorithm. The verificator complemented discrimination of each word and reduced the error occurred by similar word. As a result of verification the total error is reduced by about 22%

• The KIPS Transactions:PartD
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• v.9D no.3
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• pp.457-466
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• 2002

In this paper, we designed and implemented a web-based dictionary of computing which keeps the data up-to-date. This dictionary shows the English information based on the FOLDOC (Free On-Line Dictionary Of Computing) dictionary file at the beginning of searching, and then one or more users can translate the information into Korean. This function is the new one only this dictionary has. Also, we can easily find any words we want to took up, even if we don't know the spelling completely, because the dictionary has various searching interfaces (searching for the words starting with inputted characters, searching for the words including inputted characters in the description, etc.) using a SQL Server DBMS and SQL. The performance test for CPU load factor shows that the server can support at least 1780 users at the same time.

• The Journal of Information Systems
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• v.27 no.4
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• pp.71-96
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• 2018

Purpose Recently, social interest in the convergence research is at its peak. However, contrary to the keen interest in convergence research, an infrastructure that makes it easier to recruit researchers from other fields is not yet well established, which is why researchers are having considerable difficulty in carrying out real convergence research. In this study, we implemented a researcher recommendation system that helps researchers who want to collaborate easily recruit researchers from other fields, and we expect it to serve as a springboard for growth in the convergence research field. Design/methodology/approach In this study, we implemented a system that recommends proper researchers when users enter keyword in the field of research that they want to collaborate using word embedding techniques, word2vec. In addition, we also implemented function of keyword suggestions by using keywords drawn from LDA Topicmodeling Algorithm. Finally, the UI of the researcher recommendation system was completed by utilizing the collaborative messenger Slack to facilitate immediate exchange of information with the recommended researchers and to accommodate various applications for collaboration. Findings In this study, we validated the completed researcher recommendation system by ensuring that the list of researchers recommended by entering a specific keyword is accurate and that words learned as a similar word with a particular researcher match the researcher's field of research. The results showed 85.89% accuracy in the former, and in the latter case, mostly, the words drawn as similar words were found to match the researcher's field of research, leading to excellent performance of the researcher recommendation system.

• The Journal of the Korea Contents Association
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• v.21 no.1
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• pp.333-342
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• 2021

In this study, we analyzed the vocabulary, lemmas, keywords, and n-grams in 『Treasure Island』 to identify certain linguistic features of this British-American children's adventure novel. The current study found that, contrary to the popular claim that frequently-used words are important and essential to a story, the set of frequently-used words in 『Treasure Island』 were mostly function words and proper nouns that were not directly related to the plot found in 『Treasure Island』. We also ascertained that a list of keywords using a statistical method making use of a corpus program was not good enough to surmise the story of 『Treasure Island』. However, we managed to extract 30 keywords through the first quantitative keyword analysis and then a second qualitative keyword analysis. We also carried out a series of n-gram analyses and were able to discover lexical bundles that were preferred and frequently used by the author of 『Treasure Island』. We hope that the results of this study will help spread this knowledge among British-American children's literature as well as to further put forward corpus stylistic theory.