The effects of having lists of synonyms on the performance of Afaan Oromo Text Retrieval system
Isayas Wakgari Kelbessa

TL;DR
This study evaluates how adding synonym lists affects Afaan Oromo text retrieval performance, showing a slight improvement in F-measure and recall, and demonstrates a prototype with additional features like spellchecking and autosuggestion.
Contribution
It introduces a novel approach of incorporating synonym lists into Afaan Oromo text retrieval, demonstrating measurable performance improvements using probabilistic models and Apache Solr.
Findings
Synonym addition increased recall from 86.8% to 90.5%.
F-measure improved from 79.25% to 79.82%.
System supports spellchecking, pagination, and autosuggestion.
Abstract
Obtaining relevant information from a collection of informational resources in Afaan Oromo is very important for Afaan Oromo speakers, developing a system that help users of Afaan Oromo is mandatory. That is why this study is envisioned to make possible retrieval of Afaan Oromo text documents by applying techniques of modern information retrieval system. In the developed Afaan Oromo prototype, Probabilistic approach was used as an information retrieval models and precision and recall measurement were used as the performance measurement or evaluation technique. Apache Solr was also used as an environmental programming language to achieve the evaluation goal. Afaan Oromo text retrieval is evaluated using 158 documents and 13 arbitrarily selected queries that can determine the effectiveness of retrieval using the precision-recall. The average result obtained by our evaluation before the…
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Taxonomy
TopicsInformation Retrieval and Search Behavior · Topic Modeling · Natural Language Processing Techniques
