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.
| Original language | English |
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| Title of host publication | Findings of the Association for Computational Linguistics Findings of ACL |
| Subtitle of host publication | EMNLP 2020 |
| Publisher | Association for Computational Linguistics (ACL) |
| Pages | 4918-4929 |
| Number of pages | 12 |
| ISBN (Electronic) | 9781952148903 |
| State | Published - 2020 |
| Event | Findings of the Association for Computational Linguistics, ACL 2020: EMNLP 2020 - Virtual, Online Duration: 16 Nov 2020 → 20 Nov 2020 |
Publication series
| Name | Findings of the Association for Computational Linguistics Findings of ACL: EMNLP 2020 |
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Conference
| Conference | Findings of the Association for Computational Linguistics, ACL 2020: EMNLP 2020 |
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| City | Virtual, Online |
| Period | 16/11/20 → 20/11/20 |
Bibliographical note
Publisher Copyright:© 2020 Association for Computational Linguistics