%0 Conference Proceedings %T Coming to Terms: Automatic Formation of Neologisms in Hebrew %A Mizrahi, Moran %A Yardeni Seelig, Stav %A Shahaf, Dafna %Y Cohn, Trevor %Y He, Yulan %Y Liu, Yang %S Findings of the Association for Computational Linguistics: EMNLP 2020 %D 2020 %8 November %I Association for Computational Linguistics %C Online %F mizrahi-etal-2020-coming %X Spoken languages are ever-changing, with new words entering them all the time. However, coming up with new words (neologisms) today relies exclusively on human creativity. In this paper we propose a system to automatically suggest neologisms. We focus on the Hebrew language as a test case due to the unusual regularity of its noun formation. User studies comparing our algorithm to experts and non-experts demonstrate that our algorithm is capable of generating high-quality outputs, as well as enhance human creativity. More broadly, we seek to inspire more computational work around the topic of linguistic creativity, which we believe offers numerous unexplored opportunities. %R 10.18653/v1/2020.findings-emnlp.442 %U https://aclanthology.org/2020.findings-emnlp.442 %U https://doi.org/10.18653/v1/2020.findings-emnlp.442 %P 4918-4929