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1
Applying the Transformer to Character-level Transduction ...
Wu, Shijie; Cotterell, Ryan; Hulden, Mans. - : ETH Zurich, 2021
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2
Applying the Transformer to Character-level Transduction
In: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume (2021)
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3
SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection ...
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4
UniMorph 3.0: Universal Morphology
In: Proceedings of the 12th Language Resources and Evaluation Conference (2020)
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5
UniMorph 3.0: Universal Morphology ...
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6
The SIGMORPHON 2019 Shared Task: Morphological Analysis in Context and Cross-Lingual Transfer for Inflection ...
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7
On the Complexity and Typology of Inflectional Morphological Systems
In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 327-342 (2019) (2019)
Abstract: We quantify the linguistic complexity of different languages’ morphological systems. We verify that there is a statistically significant empirical trade-off between paradigm size and irregularity: A language’s inflectional paradigms may be either large in size or highly irregular, but never both. We define a new measure of paradigm irregularity based on the conditional entropy of the surface realization of a paradigm— how hard it is to jointly predict all the word forms in a paradigm from the lemma. We estimate irregularity by training a predictive model. Our measurements are taken on large morphological paradigms from 36 typologically diverse languages.
Keyword: Computational linguistics. Natural language processing; P98-98.5
URL: https://doaj.org/article/0fb649718b164ce0bb10d522426035cb
https://doi.org/10.1162/tacl_a_00271
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8
Marrying Universal Dependencies and Universal Morphology ...
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9
On the Complexity and Typology of Inflectional Morphological Systems ...
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10
Quantifying the Trade-off Between Two Types of Morphological Complexity
In: Proceedings of the Society for Computation in Linguistics (2018)
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