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.description.provenanceSubmitted by Louis Kalampa (louiekalampa@gmail.com) on 2024-03-15T08:29:29Z No. of bitstreams: 1 306-Sibanda-2022-5.pdf: 314332 bytes, checksum: 2dec648f4330a28d35b6886031098876 (MD5)en
dc.description.provenanceMade available in DSpace on 2024-03-15T08:29:29Z (GMT). No. of bitstreams: 1 306-Sibanda-2022-5.pdf: 314332 bytes, checksum: 2dec648f4330a28d35b6886031098876 (MD5) Previous issue date: 2022-03-29en
dc.identifier.doihttps://doi.org/10.5281/zenodo.6393738
dc.identifier.doihttps://doi.org/10.60763/africarxiv/501
dc.identifier.urihttps://africarxiv.ubuntunet.net/handle/1/543
dc.subjectNATURAL SCIENCES::Biology::Organism biology::Morphology
dc.subjectSwahili
dc.subjectLangauge
dc.titleLearning Swahili Morphology

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