• The Journal of the Korea Contents Association
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• v.10 no.4
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• pp.438-446
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• 2010

For language information processing that includes both Hangul and Hanja, an electronic dictionary supporting Hangul and Hanja simultaneously is necessary. This paper examined statistical information on Hanja entries of Korean Unabridged Dictionary such as the number of entries that include Hanja based on the KSC-5601 character set, the frequency of the pronunciation and meaning of each character of Hanja included in the entries, the frequency per part of speech of Hanja in entries and the average number of Hanja characters per entry. At least one or more of Hanja characters appear in 303,951 entries out of 440,594, accounting for 68.99% of the total. 858,595 characters of Hanja are included in the 440,594 entries, which is 1.95 Hanja characters per entry. As the average syllable length of the entries is 3.56 and the average count of the Hanja characters per entry is 1.96, it can be said that 54.7% of all the characters of the entries are in Hanja. Among 4,888 Hanja character codes, 4,660 are used once or more, whereas 228 Hanja codes never appear in any entry. There were 5 characters which appear more than 4,000 times. A total of 858,595 Hanja characters used in all the entries correspond to 471 Hangeul codes.

• Korean Journal of Child Studies
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• v.30 no.2
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• pp.15-28
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• 2009

This study focused on the comprehension of texts written either in Korean script (Hangul) or Chinese script (Hanja). For this purpose, we measured the reading time and the correct response in text comprehension tasks with 104 Korean-Chinese children who were either 10 or 19 years old. There was a main effect of script : The reading time of Hanja texts was shorter than that of Hangul or Hangul Hanja mixed texts. But the older subjects who spent the same reading time in both Hangul and Hanja texts showed the longer reading time in Hangul Hanja mixed texts revealing the interaction between age and script. The correct response rate on the comprehension task was the highest in Hangul text. The results were discussed in relation to the independent dual language processing systems in Korean-Chinese.

• International journal of advanced smart convergence
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• v.7 no.2
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• pp.7-21
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• 2018

The author studied the process of unifying Hanja variant groups of Korea and China for LGR (Label Generation Rule) of Internet Top-Level Hangeul Hanja Domain and possible confusion between Hangeul syllable and Hanja character. Among 3518 Chinese variant groups, Korea and China need not review variant groups which include no or just one Korean Hanja character. Korea and China reviewed 304 Chinese variant groups (9% of the 3518 Chinese variant groups) which include two or more Korean Hanja characters. By doing so, Korea and China succeeded in efficiently unifying variant groups. Unification process of variant groups which is the main core of Korea-China coordination and almost final unification result is summarized in this paper. In addition, the author analyzed systematically whether some Hanja character could be confused with a Hangeul syllable and obtained a good result which was not expected at the beginning. Probably this kind of systematic analysis has not been performed in the past and seems the first attempt, which is one of the contributions of this paper. The author also reviewed how to express K-LGR in XML for submission to ICANN.

• Journal of Korean Library and Information Science Society
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• v.25
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• pp.295-338
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• 1996

The findings from this study are summarized as follows : 1. It is questionable to define the term "Hanja" as "the Chinese Character used independently or used along with Hangul. 2. It is found to be a problem that the validity and objectivity in the selection of Hanja are lacking. 3. It is also a problem that there is neither principles nor consistency in styling of characters. 4. The system of arrangement has problems, too. The adoption of arrangement of Hanja by its Korean pronunciation results in lots of errors and mistakes. Besides, mistaken strokes and radicals produced considerable errors in the arrangement of Hanja. 5. The omission of the abbreviated Hanja in the Code can be considered to neglect the current trend of increased use of them. 6. The issue concerned with the Japanese-origin Hanja is that several number of Hanja deemed unnecessary are included.y are included.

• Proceedings of the KSPS conference
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• 1996.10a
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• pp.289-293
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• 1996

In Korean, as with Kana and Kanji in Japanese, two kinds of word-writing systems--Hangul (the Korean alphabet) and Hanja (the Chinese character; Kanji in Japanese)--have been and still are being used. Hangul is phonetic while Hanja is ideographic. A phonetic alphabet represents the pronunciation of words, wheras ideographs are where a character of a writing system represents a concept. Aphasics suffer from language disorders following brain damage. The reading and writing of Hangul and Hanja by two Korean Broca's aphasics were analyzed with two goals. The first goal was to confirm the functional autonomy of reading and writing systems in the brain that has been argued by other researchers. The second goal was to reveal what difference the subjects show in reading and writing Hangul and Hanja. As experimental materials, 50 monosyllabic words were chosen in Hangul and Hanja respectively. The 50 word pairs of Hangul and Hanja have the same meaning and are also the most familiar monosyllabic words for a group of normal adults in their fifties and sixties. The errors that the aphasic subjects made in performing the experimental materials are analyzed and discussed here. This analysis has confirmed that reading and writing systems are located in different parts in the brain. Furthemore, it seems clear that the two writing systems of Hangul and Hanja have their own respective processes.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.16 no.3
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• pp.232-247
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• 1991

This paper proposes a new classification algorithm using characteristic and structural information of printed Hanja as preliminary stages of Hanja-character recognition. Hanja is difficult for not only recognition but classification as many character and complicated structure. In this paper, to solve thie problem, extracted common subpattern in classified pattern after processing type classification fot Hanja pattern. First, we extracted subpattern, after we process preprecessing about input of character pattern, extracting directional segment, labeling on 4-directional pattern and 12 type classified using structural information based on the subpattern existing region of character pattern. Though the experiment, this study obtained that classified rate of Hanja is 93.07% on 1800 character of educational Hanja and 90.12% on 4888 character of KS C5601 standard TRIGEM LBP Hanja font and saw that as extracting subpattern at classified data was this paper possibly applied to the recognition.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.18 no.6
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• pp.802-814
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• 1993

This paper propose an algorithm for preprocessing of character recognition, which classify characters into Hangeul and Hanja. In this study, we use the 9 structural chacteristics of Hanja which isn't affected by deformation of size and style of characters and rates based on character size to classify characters. Firstly, we process the blocking to segment each characters. Secondly, on this segmented characters, we apply algorithm proposed in this paper to classify Hangeul and Hanja. Finally, we classify characters into Hangeul and Hanja, respectively. An experiment with 2350 Hangeul and 4888 Hanja printed Gothic and Mincho style of KS-C 5601 are carried out. We experiment on typeface sample book, newspapers, academic society's papers, magazines, textbooks and documents written out word processor to obtain the classifying rates of 98.8%, 92%, 96%, 98% and 98%, respectively.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.6
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• pp.219-225
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• 2019

There is a problem with the existing method of selecting the difficulty levels of Hanja characters. Some Hanja characters selected by the existing methods are different from Sino-Korean words used in real life and it is impossible to know how many times the Hanja characters are used. To solve this problem, we measure the difficulty of Hanja characters using the multiple regression analysis with the frequency as the features. Based on the elementary textbooks, FWS and FHU are counted. A questionnaire is written using the two frequencies and stroke together to answer the appropriate timing of learning the Hanja characters and use them as target variables for regression. Use stepwise regression to select the appropriate features and perform multiple linear regression. The R² score of the model was 0.1105 and the RMSE was 0.1105.

• KIPS Transactions on Computer and Communication Systems
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• v.5 no.1
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• pp.7-16
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• 2016

This paper discusses a method of selecting variant groups to be reviewed for LGR (Label Generation Rule) of Internet Top-Level Hanja Domain. The most difficult problem in setting up LGR of Internet Top-Level Hanja Domain is how to treat Hanja variants. If domains containing variants (e.g.: 東海國) are directed to different addresses, confusion will arise. Therefore, it is desirable that such domains are directed to the same address. Since variant groups of Korea and China are not same, we need to unify variant groups of Korea and China. In the process of reviewing 3093 Chinese variant groups, the author found that Korea does not need to review Chinese variant groups which include no or just one Korean Hanja character. Korea only need to review Chinese variant groups which include two or more Korean Hanja characters. By doing so, the author could reduce the number of Chinese variant groups to be reviewed by Korea from 3093 to 303, which is only one-tenth of the original number of Chinese variant groups. After Korea finishes reviewing 303 Chinese variant groups selected according to the method suggested in this paper, the job of setting up LGR of Internet Top-Level Hanja domain will be accelerated by negotiating with China.

• Journal of the Korean Data and Information Science Society
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• v.16 no.2
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• pp.313-325
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• 2005

In Korea, there exists a large corpus of handwritten historical documents that serve as a valuable resource. Most of them are hand-written by the King's chroniclers and secretaries. Recently, the historical archives of Lee dynasty have been digitalized. Since it is extremely difficult to utilize conventional OCR system, most of the processes have been performed manually. In this paper, we propose OCR-based digitalization system using Mahalanobis distance-based rejection and interface for eye inspection about historical Hanja documents. Compared with our previous work, experimental results show that the proposed system can help enhancing the overall efficiency of the process.