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

1. Benchmarking Byte-Pair Encoding Tokenizers on Different Languages with Bits per Byte — 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 — 2026 · Findings of the Association for Computational Linguistics: EACL 2026
3. Improving Term Evaluation in Machine Translation: Variation Matters — 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 — 2026 · Proceedings of the Workshop on Structured Linguistic Data and Evaluation (SLiDE)
5. Slovene Morphological and Word Formation Segmentation: A Novel Dataset and Evaluation — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
6. Confounding Factors in Relating Model Performance to Morphology — 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 — 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 Sm{\o}r-re-br{\o}d to Subwords: Training LLMs on Danish, One Morpheme at a Time — 2025 · arXiv:2504.01540
9. Tokenization Changes Meaning in Large Language Models: Evidence from Chinese — 2025 · Computational Linguistics
10. Towards the Machine Translation of Scientific Neologisms — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
11. Unlike ``Likely'''', ``Unlike'''' is Unlikely: BPE-based Segmentation hurts Morphological Derivations in LLMs — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
12. Corpus-based measures discriminate inflection and derivation cross-linguistically — 2024 · Journal of Language Modelling
13. Greed is All You Need: An Evaluation of Tokenizer Inference Methods — 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 — 2024 · arXiv:2407.08269
15. Meaning-Informed Low-Resource Segmentation of Agglutinative Morphology — 2024 · Proceedings of the Society for Computation in Linguistics 2024
16. Recent advancements in computational morphology : A comprehensive survey — 2024 · arXiv:2406.05424
17. Subword Segmentation in LLMs: Looking at Inflection and Consistency — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
18. Universal Feature-based Morphological Trees — 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 — 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 — 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 — 2024 · Proceedings of the 9th Workshop on Representation Learning for NLP (RepL4NLP-2024)
22. Biomedical Language Models are Robust to Sub-optimal Tokenization — 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 — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
24. Multi-Dialectal Representation Learning of Sinitic Phonology — 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 — 2023 · arXiv:2301.09169
26. Constructing a Derivational Morphology Resource with Transformer Morpheme Segmentation — 2022 · Proceedings of the 18th Conference on Natural Language Processing (KONVENS 2022)
27. Improving Tokenisation by Alternative Treatment of Spaces — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
28. Language Diversity: Visible to Humans, Exploitable by Machines — 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 — 2022 · Proceedings of the 19th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology
30. The SIGMORPHON 2022 Shared Task on Morpheme Segmentation — our card · 2022 · SIGMORPHON 2022 (ACL workshop)
31. Towards Universal Segmentations: UniSegments 1.0 — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
32. UniMorph 4.0: Universal Morphology — our card · 2022 · LREC 2022 (Marseille)
33. Word-level Morpheme segmentation using Transformer neural network — 2022 · Proceedings of the 19th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology