Estimating the Likelihood of Words Being Known with Corpus Analysis and K-Means Clustering Algorithm

Tong Zhu, Derek Irwin, Yanhui Zhang, Renjie Wu, Xiaoyi Jiang


Anthology ID:
2023.paclic-1.53
Volume:
Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation
Month:
December
Year:
2023
Address:
Hong Kong, China
Editors:
Chu-Ren Huang, Yasunari Harada, Jong-Bok Kim, Si Chen, Yu-Yin Hsu, Emmanuele Chersoni, Pranav A, Winnie Huiheng Zeng, Bo Peng, Yuxi Li, Junlin Li
Venue:
PACLIC
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
535–542
Language:
URL:
https://aclanthology.org/2023.paclic-1.53
DOI:
Bibkey:
Cite (ACL):
Tong Zhu, Derek Irwin, Yanhui Zhang, Renjie Wu, and Xiaoyi Jiang. 2023. Estimating the Likelihood of Words Being Known with Corpus Analysis and K-Means Clustering Algorithm. In Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation, pages 535–542, Hong Kong, China. Association for Computational Linguistics.
Cite (Informal):
Estimating the Likelihood of Words Being Known with Corpus Analysis and K-Means Clustering Algorithm (Zhu et al., PACLIC 2023)
Copy Citation:
PDF:
https://aclanthology.org/2023.paclic-1.53.pdf