• International Journal of Advanced Culture Technology
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• v.5 no.3
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• pp.35-39
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• 2017

The human body is structured as sentence of healing. This study examines how the mechanism of healing works in the human body by the narrative relation of functor and argument. So, we predict the way of extreme healing by literary or human narrative. For this purpose, we analyze the principle that the emotional and semantic arguments are called by the functor set by the sentences containing the fingerprints of mind in Gosijo and the mechanism of healing works extensively. We analyze the process of the transition from the narrative of the literary to the narrative of the human body. Thus, the barcode of the healing, which is made up of the relationship between the functor of the literature and the argument, is transferred to the human body and it is judged that the fingerprint of the human mind is operated through the stage of encoding and re-encoding due to the action potential. In addition, it was predicted that the neurotransmitters such as dopamine and the secretion of hormones would be promoted and the healing level would be increased. In results, we conclude that the function of argument and functor which contains the fingerprint of the mind in the third sound step on the last sentence of Gosijo is transferred to the human body and is especially heavily focused and operate with healing.

• Speech Sciences
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• v.10 no.3
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• pp.187-209
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• 2003

In this paper, we examine if the lexical information of the verb and its noun object affects the pitch accent patterns of the verb phrase focus. Three types of verb-object combinations with different semantic weights are discussed: when the verbs have optional direct objects, when the objects have the greater semantic weight relative to verbs, and when the verbs and the objects have equal semantic weight. Argument-structure-based works note that the pitch accent location in a focused phrase is closely related to the argument structure and contextual information. For example, it has been argued that contextually new noun objects receive accent while given noun objects don't. Contrary to nouns, verbs can be accented or not in verb phrase focus regardless of whether they are given information or new information (Selkirk 1984, 1992). However, the production experiment in this paper shows that the accenting of verbs is not fully optional, but influenced by the lexical semantic information of the verbs. The accenting of noun objects with given information is possible and the deaccenting of new noun objects also occurs depending on the lexical information of the noun objects. The results demonstrate that in addition to argument structure and information by means of context sentences, the lexical semantic information of words influences the pitch accent location in focused phrase.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.6
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• pp.2012-2030
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• 2021

Named Entity Recognition (NER) is used to identify entity nouns in the corpus such as Location, Person and Organization, etc. NER is also an important basic of research in various natural language fields. The processing of Chinese NER has some unique difficulties, for example, there is no obvious segmentation boundary between each Chinese character in a Chinese sentence. The Chinese NER task is often combined with Chinese word segmentation, and so on. In response to these problems, we summarize the recognition methods of Chinese NER. In this review, we first introduce the sequence labeling system and evaluation metrics of NER. Then, we divide Chinese NER methods into rule-based methods, statistics-based machine learning methods and deep learning-based methods. Subsequently, we analyze in detail the model framework based on deep learning and the typical Chinese NER methods. Finally, we put forward the current challenges and future research directions of Chinese NER technology.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.340-342
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• 2022

Index Terms, or keywords, are an important component of research papers because they present a quick overview of the main subjects covered in the research paper by highlighting the most important nouns. In this study, we extracted the author-assigned index terms from KIICE Conference Proceedings dating back to 2018 for seasonal conferences, and 2016 for the international conference (ICFICE). The extracted index terms were standardized and analyzed to gain an understanding of research topic trends and any over or under-represented research topics. This kind of index term analysis is expected to be useful in helping researchers not only identify additional potential topics for their own research, but also aid them in selecting from a common vocabulary of keywords when they assign index terms to their research papers.

• Korean Journal of Cognitive Science
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• v.18 no.4
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• pp.457-483
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• 2007

Database Semantics (DBS) attempts to provide a comprehensive and integrated approach to human communication which seeks theory-implementation transparency. Two key components of DBS are Word bank as a data structure and left-Associative Grammar (LAG) as an algorithm. This study aims to provide a pilot implementation of Korean in DBS. First, it is shown how the three separate modules of grammar in DBS, namely, Hear, Think, and Speak, combine to form an integrated system that simulates a cognitive agent by making use of a simple Korean sentence as an example. Second, we provide a detailed analysis of the structure in Korean that is a characteristic of Korean involving numerals, classifiers, and nouns, thereby illustrating how DBS can be applied to Korean. We also discuss an issue raised in the literature concerning a problem that arises when we try to apply the LAG algorithm to the analysis of head-final language like Korean, and then discuss some possible solution to the problem.

• The Journal of the Korea Contents Association
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• v.12 no.5
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• pp.515-524
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• 2012

This paper studied the statistics such as the total number of syllables, the kinds of syllables, the frequency of syllables, the number of eojeols(word phrases unique in Korean language), the kinds of eojeols, average length of eojeols, the frequency of eojeols and the parts of speech in four different Korean textbooks for 6th-grade students(6-1 Korean Reading, 6-1 Korean Speaking Listening Writing, 6-2 Korean Reading and 6-2 Korean Speaking Listening Writing). The results of the statistical survey are as follows: the number of Hangul syllables was 194,683; the kinds of syllables were 1,290; the average frequency of syllables was 150.9; the number of eojeol was 70,185; the kinds of eojeol were 22,647; the average frequency of eojeol was 3.1; the average length of eojeols was 2.8 syllables, the longest one consist of 10 syllables. In parts of speech, nouns are used more in the Korean Reading textbook, and verbs are used more in Korean Speaking Listening Writing.

• Journal of Korean language education
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• v.28 no.3
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• pp.53-83
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• 2017

The goal of this study is to examine whether the genre characteristics of newspaper articles are appropriately reflected in Korean language textbooks. For the purpose of this study, two corpora were built with 17 textbook articles and 60 newspaper articles respectively. The average sentence length and frequency of vocabulary in each corpus were measured. It was found that the sentences of articles in textbooks tended to have longer sentence length and more complicated structures than the articles in newspapers. For instance, sentences in the textbook articles had more verbal endings, such as conjunctive and transforming endings. On the other hand, in case of vocabulary representing 'timeliness', there was a high frequency of adverbs and nouns which were related to year, month, and time in actual articles, while it is found to be very limited in textbooks. Also, typical translative styles such as '-ko itta', '-e ttareumyun' were more prominent in textbooks than in newspaper articles. In the case of abbreviated and omitted form of particles, this was a characteristic that appeared only in actual articles because of the constraint of space. It is significant that this paper offers suggestions for the development of reading materials for Korean language education by revealing that the genre typology of actual newspaper articles is not adequately reflected in current textbooks.

• KIISE Transactions on Computing Practices
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• v.21 no.7
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• pp.500-505
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• 2015

The Sejong Electronic(machine readable) Dictionary, which was developed by the 21 century Sejong Plan, contains a systematic of immanence information of Korean words. It helps in solving the problem of electronical presentation of a general text dictionary commonly used. Word sense disambiguation problems can also be solved using the specific information available in the Sejong Electronic Dictionary. However, the Sejong Electronic Dictionary has a limitation of suggesting structure of sentences and selection-restricted nouns. In this paper, we discuss limitations of word sense disambiguation by using subcategorization information as suggested by the Sejong Electronic Dictionary and generalize selection-restricted noun of argument using Korean Lexico-semantic network.

• Phonetics and Speech Sciences
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• v.6 no.1
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• pp.3-10
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• 2014

This study investigated whether Korean vowels, /ɨ/ and /u/, are distinctively perceived after a labial consonant given the fact that native and Sino-Korean nouns showed only vowel /u/ after a labial consonant while this pattern was massively broken by the recent introduction of loanwords. For this purpose, a perception experiment was conducted with $V_1C_1V_2$ sequences in which different vowels /a, i, u/ and consonants /p, t, k/ occurred in $V_1$ and $C_1$ before the target $V_2$, /ɨ/ and /u/. The data was produced by six speakers each from two different age groups, Age20 and Age40/50 in the read speech style. The results showed that consonant /p/ attracted significantly more responses of /u/ from /VCɨ/ sequences and significantly less responses of /u/ from /VCu/ sequence than the other consonants did in both age groups. Furthermore, Age20 group showed significantly less percentage of /u/ responses than Age40 group when the preceding consonant was /p/ regardless of the target vowel. We suggest therefore that unlike the traditional belief of labial assimilation, there is neutralization after a labial consonant in which vowels /ɨ/ and /u/ are often realized as any sound between two vowels, /ɨ/ and /u/. That is, this vowel change is not categorial but it rather produces an ambiguous stimulus which attracts different responses from different listeners. Ambiguous stimulus was produced due to coarticulatory efforts in speech production and perceptual compensation. We also argue that there is generational difference such that Age40/50 group speakers showed stronger tendency to produce /u/ after a labial consonant regardless of whether the target vowel was /ɨ/ or /u/.

• The Journal of Korean Medicine
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• v.43 no.1
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• pp.73-86
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• 2022

Objectives: In the health care industry, the influence of online reviews is growing. As medical services are provided mainly by providers, those services have been managed by hospitals and clinics. However, direct promotions of medical services by providers are legally forbidden. Due to this reason, consumers, like patients and clients, search a lot of reviews on the Internet to get any information about hospitals, treatments, prices, etc. It can be determined that online reviews indicate the quality of hospitals, and that analysis should be done for sustainable hospital marketing. Method: Using a Python-based crawler, we collected reviews, written by real patients, who had experienced Korean medicine, about more than 14,000 reviews. To extract the most representative words, reviews were divided by positive and negative; after that reviews were pre-processed to get only nouns and adjectives to get TF(Term Frequency), DF(Document Frequency), and TF-IDF(Term Frequency - Inverse Document Frequency). Finally, to get some topics about reviews, aggregations of extracted words were analyzed by using LDA(Latent Dirichlet Allocation) methods. To avoid overlap, the number of topics is set by Davis visualization. Results and Conclusions: 6 and 3 topics extracted in each positive/negative review, analyzed by LDA Topic Model. The main factors, consisting of topics were 1) Response to patients and customers. 2) Customized treatment (consultation) and management. 3) Hospital/Clinic's environments.