The Unbearable Lightness of Morph Classification
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-40498-6_10
Reference27 articles.
1. Batsuren, K., et al.: The SIGMORPHON 2022 shared task on morpheme segmentation. In: Proceedings of the 19th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology, pp. 103–116. Association for Computational Linguistics, Seattle, Washington (2022). https://doi.org/10.18653/v1/2022.sigmorphon-1.11, https://aclanthology.org/2022.sigmorphon-1.11
2. Batsuren, K., Bella, G., Giunchiglia, F.: MorphyNet: a large multilingual database of derivational and inflectional morphology. In: Proceedings of the 18th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology, pp. 39–48. Association for Computational Linguistics (2021). https://doi.org/10.18653/v1/2021.sigmorphon-1.5, https://aclanthology.org/2021.sigmorphon-1.5
3. Batsuren, K., et al.: UniMorph 4.0: Universal Morphology (2022)
4. Bird, S.: NLTK: the natural language toolkit. In: Proceedings of the COLING/ACL 2006 Interactive Presentation Sessions, pp. 69–72. Association for Computational Linguistics, Sydney, Australia (2006). https://doi.org/10.3115/1225403.1225421, https://aclanthology.org/P06-4018
5. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);J Bodnár,2020
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