| dc.contributor.author | woldeyohanes tumebo, Dinknesh | |
| dc.contributor.author | beshah, Tibebe Major Advisor (PhD) | |
| dc.date.accessioned | 2018-01-28T21:54:27Z | |
| dc.date.available | 2018-01-28T21:54:27Z | |
| dc.date.issued | 2016-10 | |
| dc.identifier.uri | http://localhost:8080/xmlui/handle/123456789/2761 | |
| dc.description | 71 | en_US | 
| dc.description.abstract | The development of language is very linked with development of technology. So, Information Retrieval (IR) is not being optional technology, it is something that is very important to everybody and mandatory to use. In this Information age, information is highly needed than anything else, but finding this important information needs system support (Toffler, 1980). Users who look for Hadiyyisa document with Hadiyyisa query may not get the system that searches for relevant document that satisfies their information need. From this point of view it is essential having a system that works for Hadiyyisa Languages. Implementation of this work helps users of Hadiyyisa Languages to find their information need without much difficulty and it enhance the development of Hadiyyisa to grow with current information technology support. The aspire of this study is to design and develop a prototype for Hadiyyisa text retrieval system that organize document using indexing and searching relevant document for users query based on Vector Space Model (VSM). Other types of documents like pictures, video and audio are not included in the research. The development platform used to develop the Hadiyyisa Text retrieval system is Python 2.7.2 programming language and Windows environment. On the indexing and searching similar text pre-processing (tokenization, normalization, stop word removing and stemming) technique is done. Then similarity measurement technique is used to retrieve and rank relevant documents. All documents written in Latin script are collected from Wachamo University Hadiyyisa Department and from Hossana Teachers Education College. Those documents involve different subjects. For this study 250 different textual Documents are used for doing the experimentation. For doing experimentation 10 queries are prepared for evaluate the performance of the system. Those queries are prepared subjectively by reviewing contents of each selected documents manually. Relevance judgment is made for evaluating the system effectiveness by calculating precision and recall. Generally, the prototype system registered the average performance 0.629 Precision and 0.777 Recall respectively. The reason being lower performance is because of morphological inflection nature of Hadiyyisa writing system, Synonyms, Polysemous and some terms in the document are not written in correct spelling | en_US | 
| dc.description.sponsorship | Haramaya university | en_US | 
| dc.language.iso | en_US | en_US | 
| dc.publisher | Haramaya university | en_US | 
| dc.subject | Information Retrieval, Hadiyyisa Language, Vector space model. | en_US | 
| dc.title | DESIGN AND DEVELOPMENT OF HADIYYISA TEXT RETRIEVAL SYSTEM | en_US | 
| dc.type | Thesis | en_US |