Syntactic similarity of the sentences in a multi-lingual parallel corpus based on the Euclidean distance of their dependency trees

Masanori Oya


Anthology ID:
2020.paclic-1.26
Volume:
Proceedings of the 34th Pacific Asia Conference on Language, Information and Computation
Month:
October
Year:
2020
Address:
Hanoi, Vietnam
Editors:
Minh Le Nguyen, Mai Chi Luong, Sanghoun Song
Venue:
PACLIC
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
225–233
Language:
URL:
https://aclanthology.org/2020.paclic-1.26
DOI:
Bibkey:
Cite (ACL):
Masanori Oya. 2020. Syntactic similarity of the sentences in a multi-lingual parallel corpus based on the Euclidean distance of their dependency trees. In Proceedings of the 34th Pacific Asia Conference on Language, Information and Computation, pages 225–233, Hanoi, Vietnam. Association for Computational Linguistics.
Cite (Informal):
Syntactic similarity of the sentences in a multi-lingual parallel corpus based on the Euclidean distance of their dependency trees (Oya, PACLIC 2020)
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PDF:
https://aclanthology.org/2020.paclic-1.26.pdf
Data
Universal Dependencies