Show simple item record

dc.contributor.authorWalusimbi, Abbey
dc.date.accessioned2022-04-07T13:11:54Z
dc.date.available2022-04-07T13:11:54Z
dc.date.issued2022-04-06
dc.identifier.citationWalusimbi, Abbey. (2022).Natural Language Processing: Luganda Heteronym Disambiguation. (Unpublished Master’s Thesis) Makerere University; Kampala, Uganda.en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12281/11573
dc.descriptionA research report submitted in partial fulfillment of the requirements for the award of the degree of Bachelor of Science in Electrical Engineering of Makerere University.en_US
dc.description.abstractSpeech input received from a user, can contain a heteronym, with one or additional words. A correct pronunciation of the heteronym can be based on at least one of the phonemic string and the frequency of occurrence of the n-gram. A dialogue response, which can include the heteronym to the speech input can be generated. The dialogue response can be output as a speech output. The heteronym in the dialogue response can be pronounced in the speech output according to the determined correct pronunciation. This study is about solving the ambiguities in these heteronyms. Methodology includes Part of speech tagging which defines the nature of the word in the sentence and word sense disambiguation which is the problem of determining which "sense" (meaning) of a word activated by the use of the word in a particular context. The available results are still based on the output of disambiguating a set of heteronyms, response to larger data has not yet been evaluated. The implemented Lesk algorithm shall be integrated to the speech system when it gets to disambiguate the larger amount of data.en_US
dc.language.isoenen_US
dc.subjectLanguage Processingen_US
dc.subjectLuganda Heteronym Disambiguation.en_US
dc.titleNatural Language Processing: Luganda Heteronym Disambiguation.en_US
dc.typeThesisen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record