Eckhard Bick
University of Southern Denmark, Odense, Denmark
Kristin Hagen
University of Oslo, Norway, Norway
Anders Nøklestad
University of Oslo, Norway, Norway
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Ingår i: Proceedings of the Workshop on “Constraint Grammar - methods, tools and applications” at NODALIDA 2015, May 11-13, 2015, Institute of the Lithuanian Language, Vilnius, Lithuania
Linköping Electronic Conference Proceedings 113:2, s. 11-17
NEALT Proceedings Series 24:2, p. 11-17
Publicerad: 2015-06-17
ISBN: 978-91-7519-037-2
ISSN: 1650-3686 (tryckt), 1650-3740 (online)
In this paper we discuss and evaluate machine learning-based optimization of a Constraint Grammar for Norwegian Bokmål (OBT). The original linguistwritten rules are reiteratively re-ordered, re-sectioned and systematically modified based on their performance on a handannotated training corpus. We discuss the interplay of various parameters and propose a new method, continuous sectionizing. For the best evaluated parameter constellation, part-of-speech F-score improvement was 0.31 percentage points for the first pass in a 5-fold cross evaluation, and over 1 percentage point in highly iterated runs with continuous resectioning.
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