  This paper describes our approach on Query Word Labeling as an attempt in the
shared task on Mixed Script Information Retrieval at Forum for Information
Retrieval Evaluation (FIRE) 2015. The query is written in Roman script and the
words were in English or transliterated from Indian regional languages. A total
of eight Indian languages were present in addition to English. We also
identified the Named Entities and special symbols as part of our task. A CRF
based machine learning framework was used for labeling the individual words
with their corresponding language labels. We used a dictionary based approach
for language identification. We also took into account the context of the word
while identifying the language. Our system demonstrated an overall accuracy of
75.5% for token level language identification. The strict F-measure scores for
the identification of token level language labels for Bengali, English and
Hindi are 0.7486, 0.892 and 0.7972 respectively. The overall weighted F-measure
of our system was 0.7498.
