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AI Model for Bidirectional Sign Language Translation

원문정보

초록

영어
The problem of discrimination due to information alienation among Korean sign language users is continuously mentioned, and sign language translation research is actively being conducted to solve this problem. However, due to technological limits in translating text into Korean Sign Language, the need for specialist equipment causes annoyance and spatial constraints. Furthermore, it isn't easy to replicate the vocabulary and grammatical structure of the Korean language in Korean Sign Language. Furthermore, the service's commercialization is complicated by the need for more nonmanual signal (NMS) identification technology.

목차

Abstract
I. INTRODUCTION
II. RELATED WORKS
III. METHODS
A. DATASET
B. Model for Bidirectional Sign Language Translation
C. Sign language Video Sign word Translation
D. Korean sentences Sign Language Translation
E. Experiment setup
IV. EXPERIMENT RESULT
A. Evaluation Criteria
B. Result
V. CONCLUSIONS
ACKNOWLEDGMENT
REFERENCES

저자

  • Gayeon Jeon [ dept. of public Admininstracname Kyungnam university ]
  • Beommo Kim [ dept. of Computer Science & Engineering Kyungnam university ]
  • Hongjo Ahn [ dept. of Computer Science & Engineering Kyungnam university ]
  • Minsung Jung [ dept. of Computer Science & Engineering Kyungnam university ]
  • Byung-Joo Shin [ dept. of Computer Science & Engineering Kyungnam university ] Corresponding Author

참고문헌

자료제공 : 네이버학술정보

    간행물 정보

    • 간행물
      한국차세대컴퓨팅학회 학술대회
    • 간기
      반년간
    • 수록기간
      2021~2025
    • 십진분류
      KDC 566 DDC 004