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# Who cites «Knowledge-Free Induction of Inflectional Morphologies»

52 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2001-schone-knowledge-free-induction-inflectional-morphologies/)

1. [TAMS: Translation-Assisted Morphological Segmentation](https://aclanthology.org/2024.acl-long.366/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
2. [CaMEL: Case Marker Extraction without Labels](https://aclanthology.org/2022.acl-long.377/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
3. [Morphological Processing of Low-Resource Languages: Where We Are and What''s Next](https://aclanthology.org/2022.findings-acl.80/) *— 2022 · Findings of ACL 2022 (Dublin)*
4. [Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLP](https://arxiv.org/abs/2112.10508) *— 2021 · arXiv:2112.10508*
5. [Modeling Morphological Typology for Unsupervised Learning of Language Morphology](https://aclanthology.org/2020.acl-main.596/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
6. [Joint Semantic Synthesis and Morphological Analysis of the Derived Word](https://aclanthology.org/Q18-1003/) *— 2018 · Transactions of the Association for Computational Linguistics*
7. [Unsupervised Morphology Learning with Statistical Paradigms](https://aclanthology.org/C18-1005/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
8. [Morph-fitting: Fine-Tuning Word Vector Spaces with Simple Language-Specific Rules](https://aclanthology.org/P17-1006/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
9. [Morphological Analysis for the Maltese Language: The challenges of a hybrid system](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2017-borg-morphological-analysis-maltese-language-challenges/) *— our card · 2017 · Proceedings of the Third Arabic Natural Language Processing Workshop*
10. [A Comparative Study of Minimally Supervised Morphological Segmentation](https://aclanthology.org/J16-1003/) *— 2016 · Computational Linguistics*
11. [Inferring Morphotactics from Interlinear Glossed Text: Combining Clustering and Precision Grammars](https://aclanthology.org/W16-2021/) *— 2016 · Proceedings of the 14th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology*
12. [Morphological Paradigms: Computational Structure and Unsupervised Learning](https://aclanthology.org/N15-2022/) *— 2015 · Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop*
13. [Morphological Word-Embeddings](https://aclanthology.org/N15-1140/) *— 2015 · Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
14. [Crowd-sourcing evaluation of automatically acquired, morphologically related word groupings](https://aclanthology.org/L14-1617/) *— 2014 · Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)*
15. [Semi-supervised learning of morphological paradigms and lexicons](https://md.mova.elamur.ai/free/en/docs/papers/lex-2014-ahlberg-paradigm-extraction/) *— our card · 2014 · EACL 2014 (Gothenburg)*
16. [Induction of Root and Pattern Lexicon for Unsupervised Morphological Analysis of Arabic](https://aclanthology.org/I13-1137/) *— 2013 · Proceedings of the Sixth International Joint Conference on Natural Language Processing*
17. [Supervised Learning of Complete Morphological Paradigms](https://md.mova.elamur.ai/free/en/docs/papers/lex-2013-durrett-morphological-paradigms/) *— our card · 2013 · NAACL-HLT 2013 (Atlanta)*
18. [Discovering Morphological Paradigms from Plain Text Using a Dirichlet Process Mixture Model](https://aclanthology.org/D11-1057/) *— 2011 · Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing*
19. [Empirical Comparison of Evaluation Methods for Unsupervised Learning of Morphology](https://aclanthology.org/2011.tal-2.3/) *— 2011*
20. [Universal Morphological Analysis using Structured Nearest Neighbor Prediction](https://aclanthology.org/D11-1030/) *— 2011 · Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing*
21. [Unsupervised Learning of Morphology](https://aclanthology.org/J11-2002/) *— 2011 · Computational Linguistics*
22. [Generating Learner-Like Morphological Errors in Russian](https://aclanthology.org/C10-1030/) *— 2010 · Proceedings of the 23rd International Conference on Computational Linguistics (Coling 2010)*
23. [Predicting the Semantic Compositionality of Prefix Verbs](https://aclanthology.org/D10-1029/) *— 2010 · Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing*
24. [Unsupervised morphological segmentation and clustering with document boundaries](https://aclanthology.org/D09-1070/) *— 2009 · Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing*
25. [Apprentissage non supervisé de familles morphologiques par classification ascendante hiérarchique](https://aclanthology.org/2007.jeptalnrecital-long.34/) *— 2007 · Actes de la 14ème conférence sur le Traitement Automatique des Langues Naturelles. Articles longs*
26. [High-Performance, Language-Independent Morphological Segmentation](https://aclanthology.org/N07-1020/) *— 2007 · Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Proceedings of the Main Conference*
27. [ParaMor: Minimally Supervised Induction of Paradigm Structure and Morphological Analysis](https://aclanthology.org/W07-1315/) *— 2007 · Proceedings of Ninth Meeting of the ACL Special Interest Group in Computational Morphology and Phonology*
28. [A Naive Theory of Affixation and an Algorithm for Extraction](https://aclanthology.org/W06-3210/) *— 2006 · Proceedings of the Eighth Meeting of the ACL Special Interest Group on Computational Phonology and Morphology at HLT-NAACL 2006*
29. [Learning Probabilistic Paradigms for Morphology in a Latent Class Model](https://aclanthology.org/W06-3209/) *— 2006 · Proceedings of the Eighth Meeting of the ACL Special Interest Group on Computational Phonology and Morphology at HLT-NAACL 2006*
30. [Morphology Induction from Term Clusters](https://aclanthology.org/W05-0617/) *— 2005 · Proceedings of the Ninth Conference on Computational Natural Language Learning (CoNLL-2005)*
31. [A Framework for Unsupervised Natural Language Morphology Induction](https://aclanthology.org/P04-2012/) *— 2004 · Proceedings of the ACL Student Research Workshop*
32. [Induction of a Simple Morphology for Highly-Inflecting Languages](https://aclanthology.org/W04-0106/) *— 2004 · Proceedings of the 7th Meeting of the ACL Special Interest Group in Computational Phonology: Current Themes in Computational Phonology and Morphology*
33. [Unsupervised Induction of Natural Language Morphology Inflection Classes](https://aclanthology.org/W04-0107/) *— 2004 · Proceedings of the 7th Meeting of the ACL Special Interest Group in Computational Phonology: Current Themes in Computational Phonology and Morphology*
34. [From WordNet to CELEX: acquiring morphological links from dictionaries of synonyms](https://aclanthology.org/L02-1189/) *— 2002 · Proceedings of the Third International Conference on Language Resources and Evaluation (LREC'02)*
35. [Modeling English Past Tense Intuitions with Minimal Generalization](https://md.mova.elamur.ai/free/en/docs/papers/albright-2002-modeling-english-past-tense-intuitions/) *— our card · 2002 · Proceedings of the ACL-02 Workshop on Morphological and Phonological Learning*
36. [Unsupervised Learning of Morphology Without Morphemes](https://aclanthology.org/W02-0604/) *— 2002 · Proceedings of the ACL-02 Workshop on Morphological and Phonological Learning*
37. ahmadi-2023-revisiting-amending-central-kurdish-data
38. ayan-2006-morphology-induction-limited-noisy-data
39. beekhuizen-2025-vorm-translations-constrained-hypothesis-space
40. belth-2024-meaning-informed-low-resource-segmentation
41. bernhard-2005-segmentation-morphologique-partir-de-corpus
42. bernhard-2010-apprentissage-non-supervise-de-familles
43. blancafort-2010-learning-morphology-romance-germanic-slavic
44. blancafort-2010-traitement-des-inconnus-une-approche
45. darwish-2012-arabic-retrieval-revisited-morphological-hole
46. gerlach-2021-paradigm-clustering-weighted-edit-distance
47. khaliq-2013-unsupervised-induction-arabic-root-pattern
48. kishky-2018-entropy-based-subword-mining-application
49. monson-2008-evaluating-agglutinative-segmentation-model-paramor
50. probst-2003-smart-bilingual-projection-feature-tag
51. stroppa-2006-du-quatrieme-de-proportion-comme
52. tepper-2008-hybrid-approach-induction-underlying-morphology
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