What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular Languages
Borenstein, Nadav; Svete, Anej; Chan, Robin; Valvoda, Josef; Nowak, Franz; Augenstein, Isabelle; Chodroff, Eleanor; Cotterell, Ryan (2024). What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular Languages. In: Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Bangkok, Thailand, 1 August 2024, 15115-15134.
Additional indexing
Item Type: | Conference or Workshop Item (Paper), refereed, original work |
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Communities & Collections: | 06 Faculty of Arts > Institute of Computational Linguistics
06 Faculty of Arts > Zurich Center for Linguistics |
Dewey Decimal Classification: | 410 Linguistics
000 Computer science, knowledge & systems |
Scopus Subject Areas: | Physical Sciences > Computer Science Applications
Social Sciences & Humanities > Linguistics and Language Social Sciences & Humanities > Language and Linguistics |
Language: | English |
Event End Date: | 1 August 2024 |
Deposited On: | 10 Jan 2025 10:42 |
Last Modified: | 29 Jan 2025 05:54 |
OA Status: | Green |
Publisher DOI: | https://doi.org/10.18653/v1/2024.acl-long.807 |
Permanent URL
https://doi.org/10.5167/uzh-266051Download
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