@inproceedings{33415d95bc8f44659e1d657d4847533e,
title = "Coming to terms: Automatic formation of neologisms in Hebrew",
abstract = "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.",
author = "Moran Mizrahi and Seelig, {Stav Yardeni} and Dafna Shahaf",
note = "Publisher Copyright: {\textcopyright} 2020 Association for Computational Linguistics; Findings of the Association for Computational Linguistics, ACL 2020: EMNLP 2020 ; Conference date: 16-11-2020 Through 20-11-2020",
year = "2020",
language = "الإنجليزيّة",
series = "Findings of the Association for Computational Linguistics Findings of ACL: EMNLP 2020",
publisher = "Association for Computational Linguistics (ACL)",
pages = "4918--4929",
booktitle = "Findings of the Association for Computational Linguistics Findings of ACL",
address = "الولايات المتّحدة",
}