A Computational Model for the Linguistic Notion of Morphological Paradigm (C18-1)
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| Challenge: | In supervised learning of morphological patterns, the strategy of generalizing inflectional tables into more abstract paradigms has been proposed as an efficient method to deduce the inflection of unseen word forms. |
| Approach: | They propose to generalize inflectional tables into more abstract paradigms by aligning the longest common subsequence found in an inflection table with the longest lexeme. |
| Outcome: | The proposed method matches linguist intuitions about what an inflectional paradigm is and can reconstruct missing inflections and generalize and group the witnessed patterns into a model of more abstract paradigmatic behavior of lexemes. |
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| Challenge: | a task of generating morphological paradigms is a challenging unsupervised task for natural language processing systems . acuidados y acciones del idioma es a problem in linguistic annotators. |
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The Paradigm Discovery Problem (2020.acl-main)
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| Challenge: | a paradigm discovery problem is a task of learning an inflectional morphological system from unannotated sentences. |
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| Challenge: | Existing models treat words as concatenation of morphemes, but some use transformations like rewrite rules to recognize dependencies between morphs. |
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Morphology Without Borders: Clause-Level Morphology (2022.tacl-1)
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| Challenge: | Morphological tasks use large multi-lingual datasets that organize words into inflection tables . lack of a clear linguistic and operational definition of what is a word impairs universality of tasks . |
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IGT2P: From Interlinear Glossed Texts to Paradigms (2020.emnlp-main)
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| Challenge: | Existing systems for learning morphology have limited their use to languages with publicly available structured data, such as online dictionaries like Wiktionary. |
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| Challenge: | a Paradigm cell filling problem is a problem that asks how speakers of a language can reliably produce inflectional forms without ever witnessing them before. |
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| Challenge: | morphological inflection models typically employ language-independent data splitting algorithms. |
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Morphological Processing of Low-Resource Languages: Where We Are and What’s Next (2022.findings-acl)
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Adam Wiemerslage, Miikka Silfverberg, Changbing Yang, Arya McCarthy, Garrett Nicolai, Eliana Colunga, Katharina Kann
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Morphological Inflection: A Reality Check (2023.acl-long)
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| Challenge: | Morphological inflection is a popular task in sub-word NLP with practical and cognitive applications. |
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Modeling Morphological Typology for Unsupervised Learning of Language Morphology (2020.acl-main)
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| Challenge: | Existing approaches to morphological analysis relied on hand-built rules to identify word-internal structures. |
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