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• W2983032163 abstract "We conduct a manual error analysis of the CoNLL-SIGMORPHON Shared Task on Morphological Reinflection. This task involves natural language generation: systems are given a word in citation form (e.g., hug) and asked to produce the corresponding inflected form (e.g., the simple past hugged). We propose an error taxonomy and use it to annotate errors made by the top two systems across twelve languages. Many of the observed errors are related to inflectional patterns sensitive to inherent linguistic properties such as animacy or affect; many others are failures to predict truly unpredictable inflectional behaviors. We also find nearly one quarter of the residual “errors” reflect errors in the gold data." @default.
• W2983032163 created "2019-11-22" @default.
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• W2983032163 date "2019-01-01" @default.
• W2983032163 modified "2023-09-23" @default.
• W2983032163 title "Weird Inflects but OK: Making Sense of Morphological Generation Errors" @default.
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• W2983032163 doi "https://doi.org/10.18653/v1/k19-1014" @default.
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