  This paper describes the work towards Gujarati Ad hoc Monolingual Retrieval
task for widely used Information Retrieval (IR) models. We present an indexing
baseline for the Gujarati Language represented by Mean Average Precision (MAP)
values. Our objective is to obtain a relative picture of a better IR model for
Gujarati Language. Results show that Classical IR models like Term Frequency
Inverse Document Frequency (TF_IDF) performs better when compared to few recent
probabilistic IR models. The experiments helped to identify the outperforming
IR models for Gujarati Language.
