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- W4285172252 abstract "Focus on language-specific properties with insights from formal minimalist syntax can improve universal dependency (UD) parsing. Such improvements are especially sensitive for low-resource African languages, like Wolof, which have fewer UD treebanks in number and amount of annotations, and fewer contributing annotators. For two different UD parser pipelines, one parser model was trained on the original Wolof treebank, and one was trained on an edited treebank. For each parser pipeline, the accuracy of the edited treebank was higher than the original for both the dependency relations and dependency labels. Accuracy for universal dependency relations improved as much as 2.90%, while accuracy for universal dependency labels increased as much as 3.38%. An annotation scheme that better fits a language’s distinct syntax results in better parsing accuracy." @default.
- W4285172252 created "2022-07-14" @default.
- W4285172252 creator A5001573874 @default.
- W4285172252 date "2022-01-01" @default.
- W4285172252 modified "2023-09-26" @default.
- W4285172252 title "New syntactic insights for automated Wolof Universal Dependency parsing" @default.
- W4285172252 doi "https://doi.org/10.18653/v1/2022.computel-1.2" @default.
- W4285172252 hasPublicationYear "2022" @default.
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