A Systematic Approach to Probabilistic Modeling for Retrieving Sindhi Text Documents

Information Retrieval (IR) systems retrieve the relevant information from the document based on the user queries. However, due to the paucity of linguistic resources, IR systems for the regional languages of Pakistan failed to achieve the required accuracy. A new systematic methodology is presented in this research article to retrieve the text form the document written in Sindhi language using Probabilistic modeling approach. This approach is considered as most efficient accessible methodology in most of the probabilistic models. Following the data collection, total 108 newspapers and 29 books were categorized into text documents against different topics. Collectively, 68765 documents were generated in all. For test cases, twenty queries applied to each case categorized into three classes i.e. One-Word query, Two-Word query and Three-Word query. Total 136 documents retrieved which provide 0.79 average precision cumulatively. However, further documents need to be added into the developed database in order to improve the performance of the IR system.