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1
Morphological Processing of Low-Resource Languages: Where We Are and What's Next ...
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2
Dim Wihl Gat Tun: The Case for Linguistic Expertise in NLP for Underdocumented Languages ...
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3
An FST morphological analyzer for the Gitksan language ...
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4
Do RNN States Encode Abstract Phonological Alternations? ...
NAACL 2021 2021; Hulden, Mans; Nicolai, Garrett. - : Underline Science Inc., 2021
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5
Do RNN States Encode Abstract Phonological Processes? ...
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6
SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection ...
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7
Noise Isn't Always Negative: Countering Exposure Bias in Sequence-to-Sequence Inflection Models ...
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8
UniMorph 3.0: Universal Morphology
In: Proceedings of the 12th Language Resources and Evaluation Conference (2020)
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9
Cross-Linguistic Syntactic Evaluation of Word Prediction Models ...
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10
UniMorph 3.0: Universal Morphology ...
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11
The SIGMORPHON 2019 Shared Task: Morphological Analysis in Context and Cross-Lingual Transfer for Inflection ...
Abstract: The SIGMORPHON 2019 shared task on cross-lingual transfer and contextual analysis in morphology examined transfer learning of inflection between 100 language pairs, as well as contextual lemmatization and morphosyntactic description in 66 languages. The first task evolves past years' inflection tasks by examining transfer of morphological inflection knowledge from a high-resource language to a low-resource language. This year also presents a new second challenge on lemmatization and morphological feature analysis in context. All submissions featured a neural component and built on either this year's strong baselines or highly ranked systems from previous years' shared tasks. Every participating team improved in accuracy over the baselines for the inflection task (though not Levenshtein distance), and every team in the contextual analysis task improved on both state-of-the-art neural and non-neural baselines. ... : Presented at SIGMORPHON 2019 ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://arxiv.org/abs/1910.11493
https://dx.doi.org/10.48550/arxiv.1910.11493
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12
Modeling Inflectional Complexity in Natural Language Processing
Nicolai, Garrett J. - : University of Alberta. Department of Computing Science., 2017
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