---
title: "Who cites MorphyNet: a Large Multilingual Database of…"
description: "33 papers of the Elamur Research library cite «MorphyNet: a Large Multilingual Database of Derivational and Inflectional Morphology», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/batsuren-2021-morphynet/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/batsuren-2021-morphynet/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [MorphyNet: a Large Multilingual Database of…](https://md.research.elamur.ai/free/en/papers/batsuren-2021-morphynet/) / cited by

# Who cites «MorphyNet: a Large Multilingual Database of Derivational and Inflectional Morphology»

33 papers of our library cite it (of the 140,884 whose bibliographies we read) · 4 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/batsuren-2021-morphynet/)

1. [**UniMorph 4.0: Universal Morphology**Khuyagbaatar Batsuren, Omer Goldman, Salam Khalifa*2022 · 82 citations*](https://md.research.elamur.ai/free/en/papers/batsuren-2022-unimorph-4/)
2. [**The SIGMORPHON 2022 Shared Task on Morpheme Segmentation**Khuyagbaatar Batsuren, Gabor Bella, Aryaman Arora*2022 · 71 citations*](https://md.research.elamur.ai/free/en/papers/batsuren-2022-morpheme-segmentation/)
3. [**Towards Universal Segmentations: UniSegments 1.0**Zdeněk Žabokrtský, Niyati Bafna, Jan Bodnár, et al.*2022 · 6 citations*](https://md.research.elamur.ai/free/en/papers/zabokrtsky-2022-universal-segmentations-unisegments-1-0/)
4. [**Slovene Morphological and Word Formation Segmentation: A Novel Dataset and Evaluation**Marko Pranjić, Boris Kern, Ines Voršič, et al.*2026*](https://md.research.elamur.ai/free/en/papers/pranjic-2026-slovene-morphological-word-formation-segmentation/)

29 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/batsuren-2021-morphynet/) — MorphyNet: a Large Multilingual Database of Derivational and Inflectional Morphology
