• The Journal of Korean Medical History
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• 제23권2호
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• pp.23-36
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• 2010

In this paper, this writer looked into the initial law and fortification, which are two of the most important phonetic changes of Sino-Korean words. Pronunciation and inscription rules of Oriental Medical terminologies have also been studied. Moreover, several problems of meaningful rendering of Oriental Medical Chinese terminologies into Korean have been looked into. As a result, the following conclusions could be drawn. 1. The initial law only applies to Sino-Korean words that consist of more than one syllable. It does not apply to words borrowed from foreign languages. Especially, compound words like Jang-ssi-yu-gyeong(張氏類經) or Im-sin-yuk-hyeol(姙娠衄血) consist of already existing words such as Jang-ssi(張氏), Yu-gyeong(類經), Im-sin(姙娠), and Yuk-hyeol(衄血), and thus the initial law applies to these words. They are inscribed and pronounced 'Jang-ssi-yu-gyeong' and 'Im-sin-yuk-hyeol'. 2. Fortification of Sino-Korean words can be applied variously according to the structure and meaning of the words. Words such as '科', '格', '氣', '法', '病', '症', and '證' are often fortified and at the same time used frequently in Oriental Medicine. Also, many other words are derived from these words. However, there has not been a scholastic consent among the Oriental Medical society as to in which circumstances these words will be fortified. Therefore, a standardization process to stipulate the pronunciation of Oriental Medical terminologies is necessary. 3. Meaningful rendering of Oriental Medical Chinese terminologies into Korean also needs scholastic investigation. Especially, the word 兪 should be meaningfully rendered and pronounced 'su' just like the words 輸 and 腧, but is wrongly pronounced 'yu'. Other than this, the words 井滎兪經合, 秦艽, 膻中, 共振丹, 成無已, and 麗澤通氣湯 should respectively be pronounced 'jeong-hyeong-su-gyeong-hap', 'jin-gyo', 'dan-jung', 'gong-sin-dan', 'Seong-mu-yi', and 'Yi-taek-tong-gi-tang'. Moreover, there are four pronunciations to the word 梴 of 李梴. This should also be standardized. This writer proposes that in the future, correct meaningful rendering of Chinese terminologies into Korean and phonetic signs be inscribed in dictionaries regarding Oriental Medical terminologies.

• Journal of Korean Academy of Nursing
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• 제23권3호
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• pp.369-376
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• 1993

Since nursing has come of age both as a profession and as a scholarly discipline, there has been increasing concern with delineating its theory base. In 1978 Chinn and Jacobs asserted that “the development of theory is the most crucial task facing nursing today.” The basic building blocks of theories are concepts. Concept formation begins in infancy, for concepts help us to categorize and organize our environmental stimuli. Concepts help us to identify how our experiences are similar or equivalent by categorizing all the things that are alike about them. concepts can be primitive, concrete, or abstract. Concept Analysis is a strategy that examines the attributes or characteristics of a concept. It is a formal, linguistic exercise to determine those defining attributes. It encourages communication. Its basic purpose is to distinguish between the defining and irrelevant attributes of a concept similarities. It is a process of determining the differences between concepts and it is useful for several reasons. It is an excellent way to begin examining information in preparation for research or theory construction and results in an operational definition and a list of defining attributes and antecedents. It provides the scientist with an excellent beginning for a new tool, is an excellent way of evaluating an old one and is useful in evaluating existing instruments. The steps of concept analysis are : 1. Select a concept, 2. Determine the aims or purposes of the analysis, 3. Identify all uses of the concept that you can discover, 4. Determine the defining attributes, 5. Construct a model case, 6. Construct borderline, re-lated, contrary, invented, and illegitimate cases, 7. Identify antecedents and consequences, 8. Define empirical referents. In this paper, the concept selected for analysis was Love. The concept of love is of great interest to nursing because loving care is considered vital to the nursing care of patients. The aims of the concept analysis of love were to clarify the meaning of love, to develop an operational definition for it and to contribute to existing nursing theory. Love influences the quality of life which is the goal of nursing according to Parse in her Human Becoming Theory. Lived experiences are the entities for study in Parse's Research Methodology. Human caring, human understanding, and human becoming are the most important issues in lived experiences. In this research, dictionaries and literature from nursing philosophy and other human disciplines were used to identify the concept of love. As many different instances of the concept as could be found were examinned. The model case was a real life example of the use of the concept. Next borderline, related, invented, and contrary cases were constructed for the purpose of providing examples of “not the concept” and for promoting further understanding of the concept being discussed. The defining attributes of the concept of love were concern, responsibility, respect, understanding and dedication. Love was defined as showing concern and understanding. relating with mutual respect and dedicating oneself responsibly to others. Concept analysis is a highly creative activity and may add significant new information to a given area of interest. It is a strategy for developing a concept based on observation or other forms of empirical evidence. The purpose of concept analysis is to generate new ideas. It provides a method of examining data for new insights that contribute to theoretical development. This concept analysis suggests that a nurse’s love for patients is shown in the process of giving oneself in mutual relationships of responsibility and respect and in continuously providing understanding and quality human care for them.

• The KIPS Transactions:PartA
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• 제10A권2호
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• pp.93-100
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• 2003

With the advent of distributed computing and Web service technologies, lots of users have been requiring services that can conveniently obtain and/or support well-assembled information based on Web. For this reason, we are to construct Automatic Linking Support Systems for generating Web-based integrated information and supporting retrieval information according to user's various requirements. Our system organization is based on client/server system. A server environment consisted of automatic linking engine that can provide lexical analyzing, query processing and integrated document generating functions, and databases that are made of dictionaries, image and URL contents. Also, client environments consisted of Web editor that can generate integrated documents and Web helper that can retrieve them via automatic linking engine and databases. For client's user-friendly interfaces, web editor and helper programs can directly execute by down leading from a server without setup them before inside clients. For reducing server's overheads, Parts of server's executing modules are distributed to clients on which they can be executing. As an implementation of our system, we use the JDK 1.3, SWING for user interfaces like Web editor and helper, RMI mechanism for interaction between clients and a server, and SQL server 7.0 for database development, respectively. Finally, we showed the access procedures of automatic document linking engine and databases from Web editor or Web helper, and results appearing on their screens.

• Korean Journal of Family Social Work
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• 제60호
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• pp.133-173
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• 2018

This paper analyzes the consistency and the discrepancy between system and practices of the old age pension(Nyunronyungeum) in North Korea. The literature review is conducted to analyze the system. Specifically, the North Korean law and North Korean dictionaries were carefully examined. The interviews with 25 North Korean refugees were conducted to grasp the exact state of the old age pension in North Korea. Major findings are as follows: the consistency between system and practices of the old age pension in North Korea is identified only certain portions of that. Beneficiaries(blue-collar workers, white-collar workers, farmers, soldiers, and employees in foreign-invested enterprises), contribution periods, earning-related schemes, the totalization of periods of coverage(workplace transitions), the absence of double benefits and early retirement pension, and the delivery system around Civic Service offices(Dong offices) are confirmed by complete consistency. Preservation age, variations in the implementation of the pension system by region, and premium of the old age pension are confirmed by partial consistency. The length of service, the labor regulation, lump-sum payment, and double dipping are confirmed by discrepancies. It's important that this study brings about a better understanding the old age pension in North Korea through various original texts of North Korea and interviews with refugees. The results of this study are expected to contribute to the policy production for the age income security system after the unification and to the spread of unification perspectives.

• Journal of Intelligence and Information Systems
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• 제21권1호
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• pp.1-13
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• 2015

As opinion mining in big data applications has been highlighted, a lot of research on unstructured data has made. Lots of social media on the Internet generate unstructured or semi-structured data every second and they are often made by natural or human languages we use in daily life. Many words in human languages have multiple meanings or senses. In this result, it is very difficult for computers to extract useful information from these datasets. Traditional web search engines are usually based on keyword search, resulting in incorrect search results which are far from users' intentions. Even though a lot of progress in enhancing the performance of search engines has made over the last years in order to provide users with appropriate results, there is still so much to improve it. Word sense disambiguation can play a very important role in dealing with natural language processing and is considered as one of the most difficult problems in this area. Major approaches to word sense disambiguation can be classified as knowledge-base, supervised corpus-based, and unsupervised corpus-based approaches. This paper presents a method which automatically generates a corpus for word sense disambiguation by taking advantage of examples in existing dictionaries and avoids expensive sense tagging processes. It experiments the effectiveness of the method based on Naïve Bayes Model, which is one of supervised learning algorithms, by using Korean standard unabridged dictionary and Sejong Corpus. Korean standard unabridged dictionary has approximately 57,000 sentences. Sejong Corpus has about 790,000 sentences tagged with part-of-speech and senses all together. For the experiment of this study, Korean standard unabridged dictionary and Sejong Corpus were experimented as a combination and separate entities using cross validation. Only nouns, target subjects in word sense disambiguation, were selected. 93,522 word senses among 265,655 nouns and 56,914 sentences from related proverbs and examples were additionally combined in the corpus. Sejong Corpus was easily merged with Korean standard unabridged dictionary because Sejong Corpus was tagged based on sense indices defined by Korean standard unabridged dictionary. Sense vectors were formed after the merged corpus was created. Terms used in creating sense vectors were added in the named entity dictionary of Korean morphological analyzer. By using the extended named entity dictionary, term vectors were extracted from the input sentences and then term vectors for the sentences were created. Given the extracted term vector and the sense vector model made during the pre-processing stage, the sense-tagged terms were determined by the vector space model based word sense disambiguation. In addition, this study shows the effectiveness of merged corpus from examples in Korean standard unabridged dictionary and Sejong Corpus. The experiment shows the better results in precision and recall are found with the merged corpus. This study suggests it can practically enhance the performance of internet search engines and help us to understand more accurate meaning of a sentence in natural language processing pertinent to search engines, opinion mining, and text mining. Naïve Bayes classifier used in this study represents a supervised learning algorithm and uses Bayes theorem. Naïve Bayes classifier has an assumption that all senses are independent. Even though the assumption of Naïve Bayes classifier is not realistic and ignores the correlation between attributes, Naïve Bayes classifier is widely used because of its simplicity and in practice it is known to be very effective in many applications such as text classification and medical diagnosis. However, further research need to be carried out to consider all possible combinations and/or partial combinations of all senses in a sentence. Also, the effectiveness of word sense disambiguation may be improved if rhetorical structures or morphological dependencies between words are analyzed through syntactic analysis.

• Phonetics and Speech Sciences
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• 제11권1호
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• pp.29-40
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• 2019

The paper investigates the minimal pair of Korean phonemes quantitatively. To achieve this goal, I calculated the number of consonant minimal pairs in the syllable-initial position as both raw counts and relative counts, and analyzed the part of speech relations of the two words in the minimal pair. "Urimalsaem" was chosen as the object of this study because it was judged that the minimal pair analysis should be done through a dictionary and it is the largest among Korean dictionaries. The results of the study are summarized as follows. First, there were 153 types of minimal pairs out of 337,135 examples. The ranking of phoneme pairs from highest to lowest was 'ㅅ-ㅈ, ㄱ-ㅅ, ㄱ-ㅈ, ㄱ-ㅂ, ㄱ-ㅎ, ${\ldots}$, ㅆ-ㅋ, ㄸ-ㅋ, ㅉ-ㅋ, ㄹ-ㅃ, ㅃ-ㅋ'. The phonemes that played a major role in the formation of the minimal pair were /ㄱ, ㅅ, ㅈ, ㅂ, ㅊ/, in that order, which showed a high proportion of palatals. The correlation between the raw count of minimal pairs and the relative count of minimal pairs was found to be quite high r=0.937. Second, 87.91% of the minimal pairs shared the part of speech (same syntactic category). The most frequently observed type has been 'noun-noun' pair (70.25%), and 'vowel-vowel' pair (14.77%) was the next ranking. It can be indicated that the minimal pair could be grouped into similar categories in terms of semantics. The results of this study can be useful for various research in Korean linguistics, speech-language pathology, language education, language acquisition, speech synthesis, and artificial intelligence-machine learning as basic data related to Korean phonemes.