Learning Swahili Morphology

dc.contributor.authorGoldsmith, John
dc.contributor.authorMpiranya, Fidele
dc.date.accessioned2024-03-15T08:29:29Z
dc.date.available2024-03-15T08:29:29Z
dc.date.issued2022-03-29
dc.description.abstractWe describe the results of automatic morphological analysis of a large corpus of Swahili text, the Helsinki corpus, using Linguistica, an unsupervised learner of morphology. The result is a fine-grained analysis, with some results corresponding to the familiar linguistic analysis, and with others that are possible only with exact quantitative measures available with computational analysis. The prefixal inflectional morphology is largely done well, while the suffixal morphology is successfully analyzed in some cases and not in others.
dc.identifier.doihttps://doi.org/10.5281/zenodo.6393738
dc.identifier.urihttps://africarxiv.ubuntunet.net/handle/1/543
dc.identifier.urihttps://doi.org/10.60763/africarxiv/501
dc.identifier.urihttps://doi.org/10.60763/africarxiv/501
dc.identifier.urihttps://doi.org/10.60763/africarxiv/501
dc.subjectNATURAL SCIENCES::Biology::Organism biology::Morphology
dc.subjectSwahili
dc.subjectLangauge
dc.titleLearning Swahili Morphology

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