---
title: "Who cites MorphyNet: a Large Multilingual Database of…"
description: "The papers of the Elamur Research library that cite «MorphyNet: a Large Multilingual Database of Derivational and Inflectional Morphology», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/lex-2021-batsuren-morphynet/cited-by/"
---
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# Who cites «MorphyNet: a Large Multilingual Database of Derivational and Inflectional Morphology»

33 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.research.elamur.ai/free/en/papers/lex-2021-batsuren-morphynet/)

1. [Benchmarking Byte-Pair Encoding Tokenizers on Different Languages with Bits per Byte](https://aclanthology.org/2026.mellm-1.27/) *— 2026 · Proceedings of the 1st Workshop on Multilinguality in the Era of Large Language Models (MeLLM 2026)*
2. [Evaluating Morphological Plausibility of Subword Tokenization via Statistical Alignment with Morpho-Syntactic Features](https://aclanthology.org/2026.findings-eacl.196/) *— 2026 · Findings of the Association for Computational Linguistics: EACL 2026*
3. [Improving Term Evaluation in Machine Translation: Variation Matters](https://aclanthology.org/2026.amta-research.7/) *— 2026 · Proceedings of the 17th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
4. [Modeling Word-Internal Structures: Morphological Segmentation Across 58 Languages](https://aclanthology.org/2026.slide-1.16/) *— 2026 · Proceedings of the Workshop on Structured Linguistic Data and Evaluation (SLiDE)*
5. [Slovene Morphological and Word Formation Segmentation: A Novel Dataset and Evaluation](https://aclanthology.org/2026.lrec-1.140/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
6. [Confounding Factors in Relating Model Performance to Morphology](https://aclanthology.org/2025.emnlp-main.369/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
7. [Database of Latvian Morphemes and Derivational Models: ideas and expected results](https://aclanthology.org/2025.nodalida-1.29/) *— 2025 · Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025)*
8. [From Smør-re-brød to Subwords: Training LLMs on Danish, One Morpheme at a Time](https://arxiv.org/abs/2504.01540) *— 2025 · arXiv:2504.01540*
9. [Tokenization Changes Meaning in Large Language Models: Evidence from Chinese](https://aclanthology.org/2025.cl-3.3/) *— 2025 · Computational Linguistics*
10. [Towards the Machine Translation of Scientific Neologisms](https://aclanthology.org/2025.coling-main.63/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
11. [Unlike “Likely”, “Unlike” is Unlikely: BPE-based Segmentation hurts Morphological Derivations in LLMs](https://aclanthology.org/2025.coling-main.348/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
12. [Corpus-based measures discriminate inflection and derivation cross-linguistically](https://jlm.ipipan.waw.pl/index.php/JLM/article/view/351) *— 2024 · Journal of Language Modelling*
13. [Greed is All You Need: An Evaluation of Tokenizer Inference Methods](https://aclanthology.org/2024.acl-short.73/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
14. [LLMs' morphological analyses of complex FST-generated Finnish words](https://arxiv.org/abs/2407.08269) *— 2024 · arXiv:2407.08269*
15. [Meaning-Informed Low-Resource Segmentation of Agglutinative Morphology](https://aclanthology.org/2024.scil-1.10/) *— 2024 · Proceedings of the Society for Computation in Linguistics 2024*
16. [Recent advancements in computational morphology : A comprehensive survey](https://arxiv.org/abs/2406.05424) *— 2024 · arXiv:2406.05424*
17. [Subword Segmentation in LLMs: Looking at Inflection and Consistency](https://aclanthology.org/2024.emnlp-main.672/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
18. [Universal Feature-based Morphological Trees](https://aclanthology.org/2024.mwe-1.17/) *— 2024 · Proceedings of the Joint Workshop on Multiword Expressions and Universal Dependencies (MWE-UD) @ LREC-COLING 2024*
19. [Universal NER: A Gold-Standard Multilingual Named Entity Recognition Benchmark](https://aclanthology.org/2024.naacl-long.243/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
20. [Vers la traduction automatique des néologismes scientifiques](https://aclanthology.org/2024.jeptalnrecital-taln.17/) *— 2024 · Actes de la 31ème Conférence sur le Traitement Automatique des Langues Naturelles, volume 1 : articles longs et prises de position*
21. [Word Boundary Information Isn't Useful for Encoder Language Models](https://aclanthology.org/2024.repl4nlp-1.10/) *— 2024 · Proceedings of the 9th Workshop on Representation Learning for NLP (RepL4NLP-2024)*
22. [Biomedical Language Models are Robust to Sub-optimal Tokenization](https://aclanthology.org/2023.bionlp-1.32/) *— 2023 · Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks*
23. [CompoundPiece: Evaluating and Improving Decompounding Performance of Language Models](https://aclanthology.org/2023.emnlp-main.24/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
24. [Multi-Dialectal Representation Learning of Sinitic Phonology](https://aclanthology.org/2023.acl-srw.2/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)*
25. [Representing Interlingual Meaning in Lexical Databases](https://arxiv.org/abs/2301.09169) *— 2023 · arXiv:2301.09169*
26. [Constructing a Derivational Morphology Resource with Transformer Morpheme Segmentation](https://aclanthology.org/2022.konvens-1.12/) *— 2022 · Proceedings of the 18th Conference on Natural Language Processing (KONVENS 2022)*
27. [Improving Tokenisation by Alternative Treatment of Spaces](https://aclanthology.org/2022.emnlp-main.786/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
28. [Language Diversity: Visible to Humans, Exploitable by Machines](https://aclanthology.org/2022.acl-demo.15/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: System Demonstrations*
29. [SIGMORPHON 2022 Shared Task on Morpheme Segmentation Submission Description: Sequence Labelling for Word-Level Morpheme Segmentation](https://aclanthology.org/2022.sigmorphon-1.13/) *— 2022 · Proceedings of the 19th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology*
30. [The SIGMORPHON 2022 Shared Task on Morpheme Segmentation](https://md.research.elamur.ai/free/en/papers/lex-2022-batsuren-morpheme-segmentation/) *— our card · 2022 · SIGMORPHON 2022 (ACL workshop)*
31. [Towards Universal Segmentations: UniSegments 1.0](https://aclanthology.org/2022.lrec-1.122/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
32. [UniMorph 4.0: Universal Morphology](https://md.research.elamur.ai/free/en/papers/lex-2022-batsuren-unimorph-4/) *— our card · 2022 · LREC 2022 (Marseille)*
33. [Word-level Morpheme segmentation using Transformer neural network](https://aclanthology.org/2022.sigmorphon-1.15/) *— 2022 · Proceedings of the 19th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology*