  This paper gives a detail overview about the modified features selection in
CRF (Conditional Random Field) based Manipuri POS (Part of Speech) tagging.
Selection of features is so important in CRF that the better are the features
then the better are the outputs. This work is an attempt or an experiment to
make the previous work more efficient. Multiple new features are tried to run
the CRF and again tried with the Reduplicated Multiword Expression (RMWE) as
another feature. The CRF run with RMWE because Manipuri is rich of RMWE and
identification of RMWE becomes one of the necessities to bring up the result of
POS tagging. The new CRF system shows a Recall of 78.22%, Precision of 73.15%
and F-measure of 75.60%. With the identification of RMWE and considering it as
a feature makes an improvement to a Recall of 80.20%, Precision of 74.31% and
F-measure of 77.14%.
