Sign Language Keyword Extraction based on GLOSS
Available Online April 2019.
- https://doi.org/10.2991/icmeit-19.2019.51How to use a DOI?
- Gloss; sign language; keyword extraction; Word2vec.
- In order to quickly understand the content of sign language video, the theme of handshake language, and facilitate the efficient management and retrieval of sign language corpus, the annotation corpus in the parallel corpus of the text first maps all words to one using the word2vec model based on deep learning tools. Abstract word vector space; then word clustering based on K-means algorithm to achieve keyword extraction. Experiments show that the algorithm has better keyword extraction effect for sign language videos with more keywords and longer video time.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Ruizhu Wu PY - 2019/04 DA - 2019/04 TI - Sign Language Keyword Extraction based on GLOSS PB - Atlantis Press SP - 296 EP - 300 SN - 2352-538X UR - https://doi.org/10.2991/icmeit-19.2019.51 DO - https://doi.org/10.2991/icmeit-19.2019.51 ID - Wu2019/04 ER -