Approaching Neural Chinese Word Segmentation as a Low-Resource Machine Translation Task

Anthology ID:: 2022.paclic-1.66
Volume:: Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation
Month:: October
Year:: 2022
Address:: Manila, Philippines
Editors:: Shirley Dita, Arlene Trillanes, Rochelle Irene Lucas
Venue:: PACLIC
SIG:
Publisher:: Association for Computational Linguistics
Note:
Pages:: 600–606
Language:
URL:: https://preview.aclanthology.org/build-pipeline-with-new-library/2022.paclic-1.66/
DOI:
Bibkey:
Cite (ACL):: Pinzhen Chen and Kenneth Heafield. 2022. Approaching Neural Chinese Word Segmentation as a Low-Resource Machine Translation Task. In Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation, pages 600–606, Manila, Philippines. Association for Computational Linguistics.
Cite (Informal):: Approaching Neural Chinese Word Segmentation as a Low-Resource Machine Translation Task (Chen & Heafield, PACLIC 2022)
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PDF:: https://preview.aclanthology.org/build-pipeline-with-new-library/2022.paclic-1.66.pdf