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1
Morphological Processing of Low-Resource Languages: Where We Are and What's Next ...
Abstract: Automatic morphological processing can aid downstream natural language processing applications, especially for low-resource languages, and assist language documentation efforts for endangered languages. Having long been multilingual, the field of computational morphology is increasingly moving towards approaches suitable for languages with minimal or no annotated resources. First, we survey recent developments in computational morphology with a focus on low-resource languages. Second, we argue that the field is ready to tackle the logical next challenge: understanding a language's morphology from raw text alone. We perform an empirical study on a truly unsupervised version of the paradigm completion task and show that, while existing state-of-the-art models bridged by two newly proposed models we devise perform reasonably, there is still much room for improvement. The stakes are high: solving this task will increase the language coverage of morphological resources by a number of magnitudes. ... : Findings of ACL 2022 ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://arxiv.org/abs/2203.08909
https://dx.doi.org/10.48550/arxiv.2203.08909
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2
Pre-Trained Multilingual Sequence-to-Sequence Models: A Hope for Low-Resource Language Translation? ...
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3
Jump-Starting Item Parameters for Adaptive Language Tests ...
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4
Unsupervised Morphological Paradigm Completion ...
Jin, Huiming; Cai, Liwei; Peng, Yihui. - : arXiv, 2020
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5
Predicting Declension Class from Form and Meaning ...
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6
Predicting declension class from form and meaning
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7
Measuring the Similarity of Grammatical Gender Systems by Comparing Partitions
In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) (2020)
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8
Predicting Declension Class from Form and Meaning
In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (2020)
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9
UniMorph 3.0: Universal Morphology
In: Proceedings of the 12th Language Resources and Evaluation Conference (2020)
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10
UniMorph 3.0: Universal Morphology ...
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11
Measuring the Similarity of Grammatical Gender Systems by Comparing Partitions ...
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12
Predicting Declension Class from Form and Meaning ...
Williams, Adina; Pimentel, Tiago; Blix, Hagen. - : ETH Zurich, 2020
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13
The SIGMORPHON 2019 Shared Task: Morphological Analysis in Context and Cross-Lingual Transfer for Inflection ...
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14
Modeling Color Terminology Across Thousands of Languages ...
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15
Marrying Universal Dependencies and Universal Morphology ...
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