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	title        = {Semi-automatic selection of best corpus examples for Swedish: Initial algorithm evaluation.},
	abstract     = {The study presented here describes the results
of the initial evaluation of two sorting
approaches to automatic ranking of corpus
examples for Swedish. Representatives from
two potential target user groups have been
asked to rate top three hits per approach for
sixty search items from the point of view of the
needs of their professional target groups,
namely second/foreign language (L2) teachers
and lexicographers. This evaluation has shown, on the one hand, which of the two approaches to example rating (called in the text below algorithms #1 and #2) performs better in terms of finding better examples for each target user group; and on the other hand, which features evaluators associate with good examples. It has also facilitated statistic analysis of the “good” versus “bad” examples with reference to the measurable features, such as sentence length, word length, lexical frequency profiles, PoS constitution, dependency structure, etc. with a
potential to find out new reliable classifiers.},
	booktitle    = {Proceedings of the SLTC 2012 workshop on NLP for CALL, Lund, 25th October, 2012. },
	author       = {Volodina, Elena and Johansson, Richard and Johansson Kokkinakis, Sofie},
	year         = {2012},
	number       = {080},
	pages        = {59--70},