Predicting the Growth of Morphological Families from Social and Linguistic Factors

Valentin Hofmann, Janet Pierrehumbert, Hinrich Schütze


Abstract
We present the first study that examines the evolution of morphological families, i.e., sets of morphologically related words such as “trump”, “antitrumpism”, and “detrumpify”, in social media. We introduce the novel task of Morphological Family Expansion Prediction (MFEP) as predicting the increase in the size of a morphological family. We create a ten-year Reddit corpus as a benchmark for MFEP and evaluate a number of baselines on this benchmark. Our experiments demonstrate very good performance on MFEP.
Anthology ID:
2020.acl-main.649
Volume:
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
Month:
July
Year:
2020
Address:
Online
Editors:
Dan Jurafsky, Joyce Chai, Natalie Schluter, Joel Tetreault
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
7273–7283
Language:
URL:
https://aclanthology.org/2020.acl-main.649
DOI:
10.18653/v1/2020.acl-main.649
Bibkey:
Cite (ACL):
Valentin Hofmann, Janet Pierrehumbert, and Hinrich Schütze. 2020. Predicting the Growth of Morphological Families from Social and Linguistic Factors. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 7273–7283, Online. Association for Computational Linguistics.
Cite (Informal):
Predicting the Growth of Morphological Families from Social and Linguistic Factors (Hofmann et al., ACL 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.acl-main.649.pdf
Video:
 http://slideslive.com/38929182