• KIPS Transactions on Software and Data Engineering
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• v.8 no.11
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• pp.441-448
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• 2019

Previous researches on automatic spacing of Korean sentences has been researched to correct spacing errors by using n-gram based statistical techniques or morpheme analyzer to insert blanks in the word boundary. In this paper, we propose an end-to-end automatic word spacing by using deep neural network. Automatic word spacing problem could be defined as a tag classification problem in unit of syllable other than word. For contextual representation between syllables, Bi-LSTM encodes the dependency relationship between syllables into a fixed-length vector of continuous vector space using forward and backward LSTM cell. In order to conduct automatic word spacing of Korean sentences, after a fixed-length contextual vector by Bi-LSTM is classified into auto-spacing tag(B or I), the blank is inserted in the front of B tag. For tag classification method, we compose three types of classification neural networks. One is feedforward neural network, another is neural network language model and the other is linear-chain CRF. To compare our models, we measure the performance of automatic word spacing depending on the three of classification networks. linear-chain CRF of them used as classification neural network shows better performance than other models. We used KCC150 corpus as a training and testing data.

• Journal of Elementary Mathematics Education in Korea
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• v.12 no.2
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• pp.185-204
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• 2008

The purposes of this study are to analyze sentence structures of word problems suggested in educational math programs for the 2nd grade elementary students and error patterns in sentence interpretation, and examine how sentence structures influence on errors during sentence comprehension. Based on the results of the analysis on 168 word problems suggested in math textbooks for the 2nd grade elementary students and error patterns observed while 160 the 2nd grade elementary students attempted to solve math word problems, easy and simple vocabularies are repeatedly used in the sentence structures of word problems and specific real life materials such as fruits, books, the number of people and etc. were repeatedly used. 51.56% of errors in sentence interpretation observed was higher than 39.20% of calculation errors and backtracking operation, a length of sentences, the numbers used in questions and off were analyzed to be involved in the errors in interpretation. Therefore, it is very important to make word problems from a student's points of view rather than a teacher's point of view and the study suggests that teachers help students learn basic sentence interpretation skills.

• The Journal of Korean Obstetrics and Gynecology
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• v.24 no.3
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• pp.73-84
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• 2011

Objectives: This study examined the recent update of factors affect length and regularity of menstrual cycle and symptoms need for diagnosis in oriental medicine. Methods: For factors, we searched the key word "menstrual cycle length and factor" in ScienceDirect(http://www.sciencedirect.com) and we mainly searched symptoms in the journal of oriental obstetrics & gynecology and text. Results: The result are shown in the Table 1-3. Conclusion: In fact as the fluctuation of menstrual cycle length and regularity is very high in healthy women, we must observe the factor affect menstrual cycle with attention even though rule out disease, operation and HRT etc. these researches show potential to compound oriental medicine care and factor of menstrual cycle change.

• Bulletin of the Korean Mathematical Society
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• v.38 no.4
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• pp.797-801
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• 2001

The purpose of this paper is to give an upper bound for A[n,4], the maximum number of codewords in a binary code of word length n with minimum distance 4 between codewords. We have improved upper bound for A[12k+11,4]. In this correspondence we prove $A[23,4]\leq173716$.

• Korean Journal of Cognitive Science
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• v.21 no.4
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• pp.481-503
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• 2010

In the present study, we examined global and local characteristics of eye movements while 17 Korean third-graders read a Korean story and an expository text. In story reading, children fixated for about 213ms at an eojeol(word cluster), made a forward saccade of about 3.6 characters to the next eojeol, and regressed backward at 30.8% on average. In expository text reading, children fixated for about 214ms at an eojeol, made a forward saccade of about 3.3 characters to the next eojeol, and regressed backward at 31% on average. In addition, the effects of eojeol length, word frequency and landing position were examined. The gaze duration in the long ejoels was longer than in the short eojeols. In a further analysis where the repeatedly used eojeols were excluded, the eojeol length effect appeared in the low-frequency words, but seemed to disappear in the high-frequency words. In terms of landing position, the eyes seemed to land near the center of an eojeol more frequently than on the boundaries. When the eyes landed at the boundary of an eojeol, the eyes tended to fixate the eojeol again.

• The Journal of Information Systems
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• v.21 no.1
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• pp.47-68
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• 2012

The purpose of this study is to investigate two components of commitment(affective commitment and calculative commitment) and relational equity on loyalty. In addition, The authors analyzed the moderating effect of length of relationship on the effects of commitments and relational equity on switching intention. Major findings can be summarized as follows. It was found that affective commitment made a negative impact on switching intentions and a positive impact on w-o-m. Calculative commitment had no effect on switching intention and w-o-m while it made a negative effect on w-o-m in handset side only. Relational equity appears to bolster a negative effect on switching intention and a positive effect on w-o-m. Also length of relationship seems to moderate the effect of relational equity on switching intention.

• Journal of the Korean Institute of Telematics and Electronics
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• v.19 no.4
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• pp.38-48
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• 1982

Performance and realization of finite impulse response (FIR) digital filters that use an adaptive delta modulator (ADM) as an analog/digital converter have been studied. This filter requires no multiplication and offers many advantages over conventional PCM filters in low power consumption, small size, and cost effectiveness. Analytical formulas have been derived for the expected mean-squared errors and also for the word length necessary to achieve the desired performance. Computer simultation has been done to optimize the parameter values and to verify the results of performance analysis. In addition, design of FIR ADM digital filters for processing single and multi-channel signals has been considered.

• Journal of the Korean Society of Food Culture
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• v.34 no.4
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• pp.411-423
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• 2019

This study conducted qualitative research through in-depth interviews on the diffusion process of Korean food in accordance with the length of residence of Chinese students in Korea. As the analysis method, the qualitative analysis method such as NVivo12.0 was used, and the analysis was performed through word frequency, word cloud, and coding matrix. The images of taste of Korean food were revealed as 'Spicy', 'Sweet', and 'Light taste' by both short-term Chinese residents and long-term Chinese residents. The long-term Chinese residents showed their dissatisfaction with the institutional food, and they also pointed out the importance of the matter of cooking for quick adaptation to life in Korea. The long-term Chinese residents also thought of Korean food as 'High-fiber food', and this was influenced by the 'Less-oil' cooking method of Korean food, which is different from the cooking method of Chinese food. The length of residence was used as a main variable of this study, and it was one of the factors having positive effects on the diffusion of Korean food and acculturation. It would be difficult to generalize the results because this study used the convenience sampling method and snowball sampling.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.269-271
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• 2022

In recent years, RNN networks with LSTM blocks have been used extensively in machine learning tasks that process sequential data. These networks have proven to be particularly good at sequential language processing tasks by being more able to accurately predict the next most likely word in a given sequence than traditional neural networks. This study trained an RNN / LSTM neural network on three different translations of 150 biblical Psalms - in both English and Korean. The resulting model is then fed an input word and a length number from which it automatically generates a new Psalm of the desired length based on the patterns it recognized while training. The results of training the network on both English text and Korean text are compared and discussed.

• The Journal of the Korea Contents Association
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• v.7 no.6
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• pp.60-68
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• 2007

There are various application areas of Language information processing such as information retrieval, morphological analysis, spell checker, voice recognition, character recognition, etc. In these language information processing areas, an electronic dictionary is essential. This thesis made researches on basic statistical information on the Korean dictionary and on the construction of electronic dictionary. The targets of analysis were the number of registered word in Korea dictionary, the entry number of registered word in electronic dictionary, the number of used syllables, the number of different syllables, the average length of entry, the distribution of part of speech and the number of used nodes to construct electronic dictionary using Trie, except for words including a archaic word or incomplete syllables. Total entry number of electronic dictionary is 361,980, the number of used syllables is 1,289,659, the average length of entries is 3.56 and the number of different syllables is 2,463. Theses informations would play a beneficial role in constructing an electronic dictionary and in processing Korean information.