$\require{mediawiki-texvc}$

연합인증

연합인증 가입 기관의 연구자들은 소속기관의 인증정보(ID와 암호)를 이용해 다른 대학, 연구기관, 서비스 공급자의 다양한 온라인 자원과 연구 데이터를 이용할 수 있습니다.

이는 여행자가 자국에서 발행 받은 여권으로 세계 각국을 자유롭게 여행할 수 있는 것과 같습니다.

연합인증으로 이용이 가능한 서비스는 NTIS, DataON, Edison, Kafe, Webinar 등이 있습니다.

한번의 인증절차만으로 연합인증 가입 서비스에 추가 로그인 없이 이용이 가능합니다.

다만, 연합인증을 위해서는 최초 1회만 인증 절차가 필요합니다. (회원이 아닐 경우 회원 가입이 필요합니다.)

연합인증 절차는 다음과 같습니다.

최초이용시에는
ScienceON에 로그인 → 연합인증 서비스 접속 → 로그인 (본인 확인 또는 회원가입) → 서비스 이용

그 이후에는
ScienceON 로그인 → 연합인증 서비스 접속 → 서비스 이용

연합인증을 활용하시면 KISTI가 제공하는 다양한 서비스를 편리하게 이용하실 수 있습니다.

Deep Learning-Based End-to-End Language Development Screening for Children Using Linguistic Knowledge 원문보기

Applied sciences, v.12 no.9, 2022년, pp.4651 -   

Oh, Byoung-Doo ,  Lee, Yoon-Kyoung ,  Kim, Jong-Dae ,  Park, Chan-Young ,  Kim, Yu-Seop

Abstract AI-Helper 아이콘AI-Helper

Language development is inextricably linked to the development of fundamental human abilities. A language problem can result from abnormal language development in childhood, which has a severe impact on other elements of life. As a result, early treatment of language impairments in children is criti...

참고문헌 (42)

  1. Sirbu The significance of language as a tool of communication Sci. Bull. Mircea Cel Batran Nav. Acad. 2015 18 405 

  2. Bird, J., Bishop, D. V. M., Freeman, N. H.. Phonological Awareness and Literacy Development in Children With Expressive Phonological Impairments. Journal of speech and hearing research : a publication of the American Speech and Hearing Association, vol.38, no.2, 446-462.

  3. Conti-Ramsden, Gina, Botting, Nicola. Social Difficulties and Victimization in Children With SLI at 11 Years of Age. Journal of speech, language, and hearing research : JSLHR, vol.47, no.1, 145-161.

  4. Speech and Language Disorders in Children: Implications for the Social Security Administration’s Supplemental Security Income Program 2016 

  5. Hulme, Charles, Snowling, Margaret J., West, Gillian, Lervåg, Arne, Melby-Lervåg, Monica. Children’s Language Skills Can Be Improved: Lessons From Psychological Science for Educational Policy. Current directions in psychological science : a journal of the American Psychological Society, vol.29, no.4, 372-377.

  6. Kaur, P., Singh, M., Josan, G.S.. Classification and Prediction Based Data Mining Algorithms to Predict Slow Learners in Education Sector. Procedia computer science, vol.57, 500-508.

  7. Rana Slow learner prediction using multi-variate naïve bayes classification algorithm Int. J. Eng. Technol. Innov. 2017 7 11 

  8. Pezold, Mollee J., Imgrund, Caitlin M., Storkel, Holly L.. Using Computer Programs for Language Sample Analysis. LSHSS : Language, speech & hearing services in schools, vol.51, no.1, 103-114.

  9. Tomblin, J. Bruce, Records, Nancy L., Buckwalter, Paula, Zhang, Xuyang, Smith, Elaine, O’Brien, Marlea. Prevalence of Specific Language Impairment in Kindergarten Children. Journal of speech, language, and hearing research : JSLHR, vol.40, no.6, 1245-1260.

  10. Bhagwat, Radhika, Dandawate, Yogesh. A Framework for Crop Disease Detection Using Feature Fusion Method. International journal of engineering and technology innovation, vol.11, no.3, 216-228.

  11. Lee Kr-bert: A small-scale Korean-specific language model arXiv 2020 

  12. Mikolov Efficient estimation of word representations in vector space arXiv 2013 

  13. Schober-Peterson, Debra, Johnson, Cynthia J.. The performance of eight- to ten-year-olds on measures of conversational skilfulness. First language, vol.13, no.38, 249-269.

  14. Owen Language Disorders: A Functional Approach to Assessment and Intervention 2013 

  15. Paul Language Disorders from Infancy through Adolescence 2012 

  16. Miller Systematic Analysis of Language Transcripts (SALT), Version 16 [Computer Software] 2015 

  17. MacWhinney The CHILDES Project: Tools for Analyzing Talk: Volume I: Transcription Format and Programs, Volume II: The Database 2000 

  18. Maier, A., Haderlein, T., Eysholdt, U., Rosanowski, F., Batliner, A., Schuster, M., Noth, E.. PEAKS - A system for the automatic evaluation of voice and speech disorders. Speech communication, vol.51, no.5, 425-437.

  19. Oh, Byoung-Doo, Lee, Yoon-Kyoung, Song, Hye-Jeong, Kim, Jong-Dae, Park, Chan-Young, Kim, Yu-Seop, Hsieh, Wen-Hsiang. Age group classification to identify the progress of language development based on convolutional neural networks. Journal of intelligent & fuzzy systems, vol.40, no.4, 7745-7754.

  20. Ahn A study on utterance as prosodic unit for utterance phonology J. Korean Stud. 2007 26 233 

  21. Kim Utterance boundary classification in spontaneous speech of pre-school age children Lang. Ther. Res. 2013 22 41 

  22. Park, Yun Jeong, Choi, Jieun, Lee, YoonKyoung. Development of Topic Management Skills in Conversation of School-Aged Children. Communication sciences & disorders, vol.22, no.1, 25-34.

  23. Kim What changes can large-scale language models bring? Intensive study on HyperCLOVA: Billions-scale Korean generative pretrained transformers arXiv 2021 

  24. Ba Layer normalization arXiv 2016 

  25. Srivastava Dropout: A simple way to prevent neural networks from overfitting J. Mach. Learn. Res. 2014 15 1929 

  26. Harris, Margaret, Jones, David, Brookes, Susan, Grant, Julia. Relations between the non‐verbal context of maternal speech and rate of language development. The British journal of developmental psychology, vol.4, no.3, 261-268.

  27. INGRAM, DAVID. The measurement of whole-word productions. Journal of child language, vol.29, no.4, 713-733.

  28. Andonova, Elena. Parental report evidence for toddlers’ grammar and vocabulary in Bulgarian. First language, vol.35, no.2, 126-136.

  29. Trudeau, Natacha, Sutton, Ann. Expressive vocabulary and early grammar of 16- to 30-month-old children acquiring Quebec French. First language, vol.31, no.4, 480-507.

관련 콘텐츠

오픈액세스(OA) 유형

GOLD

오픈액세스 학술지에 출판된 논문

저작권 관리 안내
섹션별 컨텐츠 바로가기

AI-Helper ※ AI-Helper는 오픈소스 모델을 사용합니다.

AI-Helper 아이콘
AI-Helper
안녕하세요, AI-Helper입니다. 좌측 "선택된 텍스트"에서 텍스트를 선택하여 요약, 번역, 용어설명을 실행하세요.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.

선택된 텍스트

맨위로