Tommi A Pirinen
Ollscoil Chathair Bhaile Átha Cliath, CNGL—School of Computing, Dublin City University, Dublin, Ireland
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Published in: 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 113:5, p. 29-33
NEALT Proceedings Series 24:5, p. 29-33
Published: 2015-06-17
ISBN: 978-91-7519-037-2
ISSN: 1650-3686 (print), 1650-3740 (online)
Traditionally, the coupling of finite state morphology and constraint grammar has been strictly rule-based, making binary distinctions between allowed and disallowed readings, however, in the recent years much of the research in the finite state morphologies has adapted the contemporary paradigm of statistically weighted analysis. This is reflected in current versions of free and open source morphology of Finnish, omorfi, in the finite state morphology part. In this paper we examine two strategies of making use of the weights as a part of VISL CG-3 pipeline. We evaluate the results intrinsically on small sample of analyses we have disambiguated by hand ourselves, and extrinsically on the effect it has on the rule-based machine translation of that text using the freely available open source translator, apertiumfin-eng.
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