Filip Ginter
Department of IT, University of Turku, Finland
Jenna Nyblom
Department of IT, University of Turku, Finland
Veronika Laippala
Department of Languages and Translation Studies, University of Turku, Finland
Samuel Kohonen
Department of IT, University of Turku, Finland
Katri Haverinen
Department of IT, University of Turku, Finland and Turku Centre for Computer Science (TUCS), Turku, Finland
Simo Vihjanen
Lingsoft, Inc., Turku, Finland
Tapio Salakoski
Department of IT, University of Turku, Finland and Turku Centre for Computer Science (TUCS), Turku, Finland
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Published in: Proceedings of the 19th Nordic Conference of Computational Linguistics (NODALIDA 2013); May 22-24; 2013; Oslo University; Norway. NEALT Proceedings Series 16
Linköping Electronic Conference Proceedings 85:26, p. 291-300
NEALT Proceedings Series 16:26, p. 291-300
Published: 2013-05-17
ISBN: 978-91-7519-589-6
ISSN: 1650-3686 (print), 1650-3740 (online)
We describe the methods and resources used to build FinnTreeBank-3; a 76.4 million token corpus of Finnish with automatically produced morphological and dependency syntax analyses. Starting from a definition of the target dependency scheme; we show how existing resources are transformed to conform to this definition and subsequently used to develop a parsing pipeline capable of processing a large-scale corpus. An independent formal evaluation demonstrates high accuracy of both morphological and syntactic annotation layers. The parsed corpus is freely available within the FIN-CLARIN infrastructure project.
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