Building a text collection for Urdu information retrieval

Urdu is a widely spoken language in the Indian subcontinent with over 300 million speakers worldwide. However, linguistic advancements are rare compared to those other European and Asian languages. Therefore, by following Text Retrieval Conference standards, we attempted construct an extensive text collection of 85 304 documents from diverse categories covering 52 topics relevance judgment sets at 100 pool depth. We also present several applications demonstrate effectiveness our collection. Although this primarily intended for retrieval, it can be used named entity recognition, summarization, suitable modifications. Ours most existing language, will freely available future research academic education.