@techreport{2001227,
institution={University of Bristol},
author={Sebastian Spiegler},
number={CSTR-10-004},
title={EMMA: A Novel Evaluation Metric for Morphological Analysis - Experimental Results in Detail},
bpages={9},
rpages={9},
month={July},
year={2010},
abstract={This technical report is intended to be a supplement to the conference paper:
"Sebastian Spiegler and Christian Monson. EMMA: A Novel Metric for Morphological Analysis. 23rd International Conference on Computational Linguistics (COLING), 2010."
It details described experiments including the evaluation of 93 system-language pairs from Morpho Challenge (MC) 2007, 2008 and 2009 comparing the MC metric against the EMMA metric proposed in the paper above, the comparison against a real-world natural language task - information retrieval, and ways how the previous MC metric could be gamed which have less influence on the EMMA metric.},
abstract-url={http://www.cs.bris.ac.uk/Publications/pub_master.jsp?id=2001227},
url={http://www.cs.bris.ac.uk/Publications/Papers/2001227.pdf},
keyword={Artificial Intelligence,Machine Learning,Optimisation},
pubtype={117}
}