DESIGNING ANAPHORA RESOLUTION MODEL FOR AMHARIC DEMONSTRATIVE PRONOUNS

Amelework, Lulie

dc.contributor.author	Amelework, Lulie
dc.date.accessioned	2022-03-07T07:29:16Z
dc.date.available	2022-03-07T07:29:16Z
dc.date.issued	2021-09
dc.identifier.uri	http://ir.bdu.edu.et/handle/123456789/13150
dc.description.abstract	Demonstrative pronouns are key features in creating coherent texts in any language in general and in Amharic in particular. Their presence signifies something in the text. Nevertheless, no resolution model has been introduced to understand and analyze the grammatical and functional features of these demonstrative pronouns. This work is therefore intended to design anaphora resolution model for Amharic demonstrative pronouns. To this end, a machine learning approaches (Logistic Regression, Random Forest Classifier, and Support Vector Machine) are employed. We take corpora from the Holy Bible and Walta News indexed in Walta Information Center. We use Python programming language as the main tool for developing the prototype for anaphora resolution as applied to demonstrative pronouns in Amharic. The accuracy of the model is tested for three algorithms. Key words: anaphora resolution, Amharic demonstrative pronouns, Machine learning	en_US
dc.language.iso	en_US	en_US
dc.subject	INFORMATION TECHNOLOGY	en_US
dc.title	DESIGNING ANAPHORA RESOLUTION MODEL FOR AMHARIC DEMONSTRATIVE PRONOUNS	en_US
dc.type	Thesis	en_US