Pairing Orthographically Variant Literary Words to Standard Equivalents Using Neural Edit Distance Models

Pairing Orthographically Variant Literary Words to Standard Equivalents Using Neural Edit Distance Models Craig Messner author Tom Lippincott author 2024-03 text Proceedings of the 8th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL 2024) Yuri Bizzoni editor Stefania Degaetano-Ortlieb editor Anna Kazantseva editor Stan Szpakowicz editor Association for Computational Linguistics St. Julians, Malta conference publication messner-lippincott-2024-pairing 10.18653/v1/2024.latechclfl-1.26 https://aclanthology.org/2024.latechclfl-1.26/ 2024-03 264 269