Journal articles: 'Korean Sign Language'

1

Lim, Ji-Ryong, and Hyunju Song. "Motivation in Korean Sign Language." Korean Semantics 49 (September 30, 2015): 59. http://dx.doi.org/10.19033/sks.2015.09.49.59.

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Nam, Kihyun, and JunMo Cho. "Anaphoric Expressions of Korean Sign Language." Korean Semantics 62 (December 31, 2018): 133–58. http://dx.doi.org/10.19033/sks.2018.12.62.133.

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Nam, Ki-Hyun, Yeon-Woo Kim, and Jun-Mo Cho. "Agreement Phenomena in Korean Sign Language." Korean Semantics 65 (September 30, 2019): 75–107. http://dx.doi.org/10.19033/sks.2019.9.65.75.

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Yang, Seon Ah, and Youngju Choi. "Universality in Meanings of Handshapes: Focusing on Hand-Opening Signs in Korean Sign Language." Studies in Modern Grammar 116 (December 24, 2022): 149–70. http://dx.doi.org/10.14342/smog.2022.116.149.

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Cabeza-Pereiro (2014) identifies the meanings of hand-opening signs in Spanish Sign Language (LSE) and British Sign Language (BSL) as ‘to disappear’ and ‘to appear.’ The purpose of this paper is to observe the same hand-opening signs in Korea Sign Language (KSL) and find out whether they have the same meanings as analyzed in LSE and BSL. The close examination of 294 signs with hand-opening articulation in KSL demonstrates that they similarly have the two meanings, ‘to disappear’ and ‘to appear’ and, in addition, it has the meanings of ‘to spread’ and ‘to deliver.’ The result supports universality in meanings of handshapes in sign languages.

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Na, Youngmin, Hyejin Yang, and Jihwan Woo. "Classification of the Korean Sign Language Alphabet Using an Accelerometer with a Support Vector Machine." Journal of Sensors 2021 (August 12, 2021): 1–10. http://dx.doi.org/10.1155/2021/9304925.

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Recognition and understanding of sign language can aid communication between nondeaf and deaf people. Recently, research groups have developed sign language recognition algorithms using multiple sensors. However, in everyday life, minimizing the number of sensors would still require the use of a sign language interpreter. In this study, a sign language classification method was developed using an accelerometer to recognize the Korean sign language alphabet. The accelerometer is worn on the proximal phalanx of the index finger of the dominant hand. Triaxial accelerometer signals were used to segment the sign gesture (i.e., the time period when a user is performing a sign) and recognize the 31 Korean sign language letters (producing a chance level of 3.2%). The vector sum of the accelerometer signals was used to segment the sign gesture with 98.9% segmentation accuracy, which is comparable to that of previous multisensor systems (99.49%). The system was able to classify the Korean sign language alphabet with 92.2% accuracy. The recognition accuracy of this approach was found to be higher than that of a previous work in the same sign language alphabet classification task. The findings demonstrate that a single-sensor accelerometer with simple features can be reliably used for Korean sign language alphabet recognition in everyday life.

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Ahn, Young-Hoe. "Feature of Korean Sign Language and Practice of the Sign Language Bible Translation." Journal of Biblical Text Research 25 (October 31, 2009): 149–70. http://dx.doi.org/10.28977/jbtr.2009.10.25.149.

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남기현. "Verbal Classifiers in Korean Sign Language (KSL)." Journal of Studies in Language 24, no. 4 (February 2009): 707–30. http://dx.doi.org/10.18627/jslg.24.4.200902.707.

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Nam, Ki-Hyun. "Adjectives and order in Korean Sign Language." Journal of special education : theory and practice 17, no. 3 (July 30, 2016): 211–35. http://dx.doi.org/10.19049/jsped.2016.17.3.09.

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Shin, Jungpil, Abu Saleh Musa Miah, Md Al Mehedi Hasan, Koki Hirooka, Kota Suzuki, Hyoun-Sup Lee, and Si-Woong Jang. "Korean Sign Language Recognition Using Transformer-Based Deep Neural Network." Applied Sciences 13, no. 5 (February 27, 2023): 3029. http://dx.doi.org/10.3390/app13053029.

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Sign language recognition (SLR) is one of the crucial applications of the hand gesture recognition and computer vision research domain. There are many researchers who have been working to develop a hand gesture-based SLR application for English, Turkey, Arabic, and other sign languages. However, few studies have been conducted on Korean sign language classification because few KSL datasets are publicly available. In addition, the existing Korean sign language recognition work still faces challenges in being conducted efficiently because light illumination and background complexity are the major problems in this field. In the last decade, researchers successfully applied a vision-based transformer for recognizing sign language by extracting long-range dependency within the image. Moreover, there is a significant gap between the CNN and transformer in terms of the performance and efficiency of the model. In addition, we have not found a combination of CNN and transformer-based Korean sign language recognition models yet. To overcome the challenges, we proposed a convolution and transformer-based multi-branch network aiming to take advantage of the long-range dependencies computation of the transformer and local feature calculation of the CNN for sign language recognition. We extracted initial features with the grained model and then parallelly extracted features from the transformer and CNN. After concatenating the local and long-range dependencies features, a new classification module was applied for the classification. We evaluated the proposed model with a KSL benchmark dataset and our lab dataset, where our model achieved 89.00% accuracy for 77 label KSL dataset and 98.30% accuracy for the lab dataset. The higher performance proves that the proposed model can achieve a generalized property with considerably less computational cost.

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Kwak, Jeongran. "Sign Language Education as Cognitive Academic Language: Focusing on the ‘Japanese Sign Language(JSL)’ Curriculum and Textbooks of Meisei Gakuen in Japan." Korean Association For Learner-Centered Curriculum And Instruction 22, no. 20 (October 31, 2022): 611–29. http://dx.doi.org/10.22251/jlcci.2022.22.20.611.

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Objectives The purpose of this study is to present implications for deaf education of Korea by analyzing the ‘Japanese Sign Language(JSL)’ curriculum and textbooks of Meisei Gakuen in Japan, which provides bilingual and bicultural deaf education from the perspective of cognitive academic language. Methods For this purpose, the characteristics of Meisei Gakuen's kindergarten, elementary, and middle school ‘JSL’ curriculum and textbooks were analyzed from the perspective of cognitive academic language. Results First, the ‘JSL’ curriculum in kindergarten was designed to develop sign language skills as a basic communicative skills by considering the differences in sign language proficiency of deaf children. Sign language textbooks were designed to develop a sense of language for sign language through sign shapes cards and classifier textbooks. Second, the elementary school ‘JSL’ curriculum was designed to comprehensively develop the cognitive academic sign language ability in linguistic, cognitive, and socio-cultural aspects. Sign language textbooks are structured to systematically develop deaf culture and sign language’s grammar. Third, the ‘JSL’ curriculum of the middle school was structured to deepen the cognitive academic sign language ability in linguistic, cognitive, and socio-cultural aspects. Sign language textbooks were designed to deepen awareness of sign language by learning sign language linguistics. Fourth, as a limitation, there was an aspect that the sign language curriculum and sign language textbooks did not sufficiently consider the level difference by age and grade. Conclusions The direction of the development of the cognitive academic sign language curriculum for using Korean sign language as a teaching-learning language was suggested.

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Choi, Youngju. "Polysemy of Korean Sign Language: Focusing on OIL sign in KSL." Language and Linguistics 93 (August 30, 2021): 107–30. http://dx.doi.org/10.20865/20219305.

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Jin, Daeyeon. "A study on the interface between Korean language education and Korean sign language education." Journal of Language & Literature 80 (December 31, 2019): 535–72. http://dx.doi.org/10.15565/jll.2019.12.80.535.

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Choi, Youngju. "MORALITY IS CLEANLINESS Metaphor in Korean, English, and Korean Sign Language." Language and Linguistics 97 (August 31, 2022): 125–46. http://dx.doi.org/10.20865/20229706.

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14

Koh, Inkyung, Sookki Lee, Heekyung Cho, Youngok Hyun, and Byeongcheon Yoon. "A Study on Antonym of Korean Sign Language." Journal of special education : theory and practice 17, no. 3 (July 30, 2016): 35–60. http://dx.doi.org/10.19049/jsped.2016.17.3.02.

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15

An, Hye-ji, and Hyung-ju Lee. "Classification of Morphemes in Korean Sign Language(KSL)." Korean Language and Literature 195 (June 30, 2021): 67–102. http://dx.doi.org/10.31889/kll.2021.06.195.67.

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16

Et.al, Chongsan Kwon. "Development Of A First-Person View-Based Korean Sign Language Education System Using VIVE Hand Tracking." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 6 (April 10, 2021): 856–64. http://dx.doi.org/10.17762/turcomat.v12i6.2109.

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In this study, using VIVE and Tracking, we developed a ‘first-person view-based Korean sign language education system’ that guides sign language handshapes using a 3D virtual hand from the user's point of view and then evaluates the accuracy of the handshapes that learners perform. The learning effects of a Korean sign language education system that guides sign language handshapes using 3D virtual hands in a virtual space and a system that only learns with a teacher's lecture video in a virtual space were compared and analyzed. The number of times the two groups of participants tried to make the sign language correctly was measured. Then, the measurement results were compared and analyzed and interviews also conducted. As a result of the experiment, the ‘first-person view-based Korean sign language education system’ demonstrated that some sign language handshapes, which are not easy for participants to make, were implemented faster and more accurately than traditional learning methods. Therefore, if this system is used, it is expected that sign language learners will be able to learn more intuitively through the first-person perspective. Furthermore, it is expected that learning effects can be improved through the ability of being able to judge whether users are making the correct shapes with their hands. In addition, since it is possible to evaluate the accuracy of the hand shapes, it is believed that single-person learning, which was not easy in the existing sign language education paradigm, will become possible. However, for the sign language examined in the experiment, some showed significant differences while others were less meaningful. These were analyzed because the difficulty of the learning contents used in the experiment was not high. In future research, in order to more accurately verify the effectiveness of the sign language education system using hand tracking and 3D virtual hand guidance, we intend to conduct an experiment implementing learning content with more complex sentences

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Choi, Youngju. "Conceptual Metaphor and Conceptual Metonymy in Korean Sign Language." Studies in Modern Grammar 2017, no. 92 (January 28, 2017): 123–47. http://dx.doi.org/10.14342/smog.2017.92.123.

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18

Jeun, Moo-Yong, and Young-Hoe Ahn. "The Need for a Korean Sign Language Bible Translation." Bible Translator 60, no. 2 (April 2009): 83–92. http://dx.doi.org/10.1177/026009350906000202.

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19

민은주. "Analysis of the tempral pattern on Simultaneous Interpretation from the Korean Language to Korean Sign Language." Journal of Special Children Education 15, no. 4 (December 2013): 427–44. http://dx.doi.org/10.21075/kacsn.2013.15.4.427.

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20

Ko, Sang-Ki, Chang Jo Kim, Hyedong Jung, and Choongsang Cho. "Neural Sign Language Translation Based on Human Keypoint Estimation." Applied Sciences 9, no. 13 (July 1, 2019): 2683. http://dx.doi.org/10.3390/app9132683.

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We propose a sign language translation system based on human keypoint estimation. It is well-known that many problems in the field of computer vision require a massive dataset to train deep neural network models. The situation is even worse when it comes to the sign language translation problem as it is far more difficult to collect high-quality training data. In this paper, we introduce the KETI (Korea Electronics Technology Institute) sign language dataset, which consists of 14,672 videos of high resolution and quality. Considering the fact that each country has a different and unique sign language, the KETI sign language dataset can be the starting point for further research on the Korean sign language translation. Using the KETI sign language dataset, we develop a neural network model for translating sign videos into natural language sentences by utilizing the human keypoints extracted from the face, hands, and body parts. The obtained human keypoint vector is normalized by the mean and standard deviation of the keypoints and used as input to our translation model based on the sequence-to-sequence architecture. As a result, we show that our approach is robust even when the size of the training data is not sufficient. Our translation model achieved 93.28% (55.28%, respectively) translation accuracy on the validation set (test set, respectively) for 105 sentences that can be used in emergency situations. We compared several types of our neural sign translation models based on different attention mechanisms in terms of classical metrics for measuring the translation performance.

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21

Chung, Jin-Woo. "Sentence Type Identification in Korean Applications to Korean-Sign Language Translation and Korean Speech Synthesis." Journal of the HCI Society of Korea 5, no. 1 (May 31, 2010): 25. http://dx.doi.org/10.17210/jhsk.2010.05.5.1.25.

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Nam, Kihyun. "A Study on the Productive Lexicon in Korean Sign Language." Korean Semantics 59 (March 31, 2018): 131–55. http://dx.doi.org/10.19033/sks.2018.03.59.131.

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Lee, Yeongjae. "A Reconsideration in terms of Orientation in Korean Sign Language." Korean Semantics 61 (September 30, 2018): 169–95. http://dx.doi.org/10.19033/sks.2018.09.61.169.

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Nam, Ki-Hyun. "A Study on Educational Idiomatic Expressions of Korean Sign Language." Korean Semantics 68 (June 30, 2020): 1–23. http://dx.doi.org/10.19033/sks.2020.6.68.1.

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Yoon, Byeongcheon, Wookchan Jeong, and Inkyung Koh. "A Study on Morphology of North Korean Sign Language(NKSL)." Journal of special education : theory and practice 17, no. 4 (October 31, 2016): 137–56. http://dx.doi.org/10.19049/jsped.17.4.07.

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Lee, Jun-Woo, Ki-Hyun Nam, and Jun-Mo Cho. "A Proposal on Developmental Direction for Korean Sign Language Dictionary." Journal of special education : theory and practice 19, no. 1 (March 30, 2018): 137–56. http://dx.doi.org/10.19049/jsped.2018.19.1.07.

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Cho, JunMo, and Yeonwoo Kim. "An Analysis of Ditransitive Locus Agreement in Korean Sign Language." Language and Linguistics 92 (May 31, 2021): 129–56. http://dx.doi.org/10.20865/20219206.

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Lee, Hyunhwa. "Current Status and Development Direction of Korean Sign Language Dictionary." Korean Semantics 72 (June 30, 2021): 199–223. http://dx.doi.org/10.19033/sks.2021.06.72.199.

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Hong, Sung-Eun, and Hyunghwa Lee. "Example Sentences in the Korean Sign Language (KSL) Online Dictionary." Journal of special education : theory and practice 22, no. 2 (June 30, 2021): 203–31. http://dx.doi.org/10.19049/jsped.2021.22.2.09.

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Soegmin Youn. "The Necessities and Prospects for Studying on Korean Sign Language." Journal of Korean Linguistics ll, no. 83 (September 2017): 93–118. http://dx.doi.org/10.15811/jkl.2017..83.004.

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Jung, Handero. "Word Formation of Korean Sign Language - Focusing on Human Nouns -." Journal of Korea Linguistics 86 (June 30, 2018): 121–56. http://dx.doi.org/10.15811/jkl.2018..86.005.

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Lee, Nan-Hee, and Sang-Bae Choi. "An analysis on handshapes of the North Korean Sign Language." Journal of Special Education & Rehabilitation Science 56, no. 1 (March 31, 2017): 75–96. http://dx.doi.org/10.23944/isers.2017.03.56.1.4.

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Ji-Ryong Lim. "The iconic aspects and semantic properties of Korean Sign Language." Journal of Korean Language and Literature Education ll, no. 68 (October 2018): 63–88. http://dx.doi.org/10.17247/jklle.2018..68.63.

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Choi, Youngju, Charmhun Jo, Byeong-Chen Yoon, Haiyan Bai, and Se-Eun Jhang. "A Corpus-Assisted Conceptual Embodiment Study in Korean Sign Language." Journal of Linguistics Science 91 (December 31, 2019): 45–67. http://dx.doi.org/10.21296/jls.2019.12.91.45.

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Hong, Sung-Eun. "Empirical survey of animal classifiers in Korean Sign Language (KSL)." Sign Language and Linguistics 6, no. 1 (December 17, 2003): 77–99. http://dx.doi.org/10.1075/sll.6.1.06hon.

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Nam, Ki-hyun. "A Study of Word Order Iconicity in Korean Sign Language." Journal of The Society of Korean Languge and Literature 96 (December 31, 2022): 5–30. http://dx.doi.org/10.33335/kll.96.1.

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이율하. "Comparative Study of the Case Making Realization in Korean and Korean Sign Language (KSL)." Journal of Special Education 17, no. 1 (July 2010): 179–97. http://dx.doi.org/10.34249/jse.2010.17.1.179.

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Nam, Ki-hyun, and Jun-mo Cho. "An Analysis of the Artistic and Linguistic Characteristics of Sign Songs in Korean Sign Language." Journal of special education : theory and practice 23, no. 3 (September 30, 2022): 49–68. http://dx.doi.org/10.19049/jsped.2022.23.3.03.

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39

Bailey, Benjamin. "Communication of respect in interethnic service encounters." Language in Society 26, no. 3 (September 1997): 327–56. http://dx.doi.org/10.1017/s0047404500019497.

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ABSTRACTDivergent practices for displaying respect in face-to-face interaction are an ongoing cause of tension in the US between immigrant Korean retailers and their African American customers. Communicative practices in service encounters involving Korean customers contrast sharply with those involving African American customers in 25 liquor store encounters that were videotaped and transcribed for analysis. The relative restraint of immigrant Korean storekeepers in these encounters is perceived by many African Americans as a sign of racism, while the relatively personable involvement of African Americans is perceived by many storekeepers as disrespectful imposition. These contrasting interactional practices reflect differing concepts of the relationship between customer and storekeeper, and different ideas about the speech activities that are appropriate in service encounters. (Intercultural communication, respect, service encounters, African Americans, Koreans)

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Lee, Hyechung. "A Study on the Influence of Spoken Languages on Signed Languages : The Adaptation of Loan Words in Korean Sign Language (KSL) and Chinese Sign Language (CSL)." Journal of Linguistics Science 88 (March 31, 2019): 383–99. http://dx.doi.org/10.21296/jls.2019.3.88.383.

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Lim, Su-jin. "On Hand Gestures in Korean Comedy: In Comparison with Sign Language and Verbal Language." Journal of Linguistics Science 92 (March 31, 2020): 297–319. http://dx.doi.org/10.21296/jls.2020.3.92.297.

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신홍임. "Iconicity of Korean Sign Language and “Tip of the Fingers” Experiences." Korean Journal of Cognitive and Biological Psychology 31, no. 2 (April 2019): 81–88. http://dx.doi.org/10.22172/cogbio.2019.31.2.002.

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43

Jong-Sung Kim, Won Jang, and Zeungnam Bien. "A dynamic gesture recognition system for the Korean sign language (KSL)." IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics) 26, no. 2 (April 1996): 354–59. http://dx.doi.org/10.1109/3477.485888.

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남기현, Heo Il, and Seongok Won. "Characteristics of Verb Types and Number Expressions in Korean Sign Language." Journal of Special Education 17, no. 1 (July 2010): 157–78. http://dx.doi.org/10.34249/jse.2010.17.1.157.

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Lee, Junwoo. "Content Analysis of Korean Sign Language Conversation from a Structuralist Perspective." Journal of Humanities and Social sciences 21 13, no. 5 (October 30, 2022): 2943–58. http://dx.doi.org/10.22143/hss21.13.5.205.

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CHOI, Sangbae, and Eunji KO. "Contrastive Linguistic Study of South and North Korean Sign Language and Japanese Sign Language at the Level of Phoneme and Lexis." Japanese Journal of Sign Language Studies 29, no. 3 (December 10, 2020): 51–65. http://dx.doi.org/10.7877/jasl.29.3_51.

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남기현, Heo Il, and Seongok Won. "Analyzing constructed actions which appear in the narrative of Korean Sign Language." Journal of Studies in Language 26, no. 4 (February 2011): 767–89. http://dx.doi.org/10.18627/jslg.26.4.201102.767.

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48

Nam, Kihyun. "A study on the Variant Entries in Dictionary of Korean Sign Language." Korean Semantics 61 (September 30, 2018): 81–103. http://dx.doi.org/10.19033/sks.2018.09.61.81.

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Kim, Yeonwoo, Ki-Hyun Nam, and JunMo Cho. "Quotational Role Shift and Shifted Interpretation of Indexicals in Korean Sign Language." Language and Linguistics 88 (May 30, 2020): 27–52. http://dx.doi.org/10.20865/20208802.

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ZEN, Zi Soo. "A Constitutional Study on Korean sign language: In terms of constitutional customs." European Constitutional Law Association 26 (April 30, 2018): 221–57. http://dx.doi.org/10.21592/eucj.2018.26.221.

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Journal articles on the topic 'Korean Sign Language'

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