Mixed-script query labelling using supervised learning and Ad hoc retrieval using sub word indexing: Shared task report by BITS Pilani, Hyderabad

Much of the user generated content on the internet is written in their transliterated form instead of in their indigenous script. Due to this search engines receive a large number of transliterated search queries. This paper presents our approach to handle labelling of queries and ad hoc retrieval of documents based on these queries, as part of the FIRE2014 shared task on Transliterated Search. Implementation of query labeling of the mixed script content was done using a supervised learning approach. For the mixed-script information retrieval, back transliteration and subword indexing were carried out.