Spatial-temporal attributes in verbal semantics: A corpus-based lexical semantic study of discriminating Mandarin near synonyms of “tui1” and “la1”

Qiangmei Liang, Chu-Ren Huang


Anthology ID:
2021.paclic-1.33
Volume:
Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation
Month:
11
Year:
2021
Address:
Shanghai, China
Editors:
Kaibao Hu, Jong-Bok Kim, Chengqing Zong, Emmanuele Chersoni
Venue:
PACLIC
SIG:
Publisher:
Association for Computational Lingustics
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Pages:
310–317
Language:
URL:
https://aclanthology.org/2021.paclic-1.33
DOI:
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Cite (ACL):
Qiangmei Liang and Chu-Ren Huang. 2021. Spatial-temporal attributes in verbal semantics: A corpus-based lexical semantic study of discriminating Mandarin near synonyms of “tui1” and “la1”. In Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation, pages 310–317, Shanghai, China. Association for Computational Lingustics.
Cite (Informal):
Spatial-temporal attributes in verbal semantics: A corpus-based lexical semantic study of discriminating Mandarin near synonyms of “tui1” and “la1” (Liang & Huang, PACLIC 2021)
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https://aclanthology.org/2021.paclic-1.33.pdf