Conference article

Omorfi—Free and open source morphological lexical database for Finnish

Tommi A Pirinen
Ollscoil Chathair Bhaile Átha Cliath, ADAPT Centre - School of Computing, Dublin City University, Dublin, Ireland

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Published in: Proceedings of the 20th Nordic Conference of Computational Linguistics, NODALIDA 2015, May 11-13, 2015, Vilnius, Lithuania

Linköping Electronic Conference Proceedings 109:44, s. 313-315

NEALT Proceedings Series 23:44, s. 313-315

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Published: 2015-05-06

ISBN: 978-91-7519-098-3

ISSN: 1650-3686 (print), 1650-3740 (online)

Abstract

This demonstration presents a freely available open source lexical database omorfi. Omorfi is a mature lexicographical database project, started out as a single-person single-purpose free open source morphological analyser project, omorfi has since grown to be used in variety of applications including spell-checking, statistical and rule-based machine translation, treebanking, joint syntactic and morphological parsing, poetry generation, information extraction. In this demonstration we hope to show both the variety of end-user facing applications as well as the tools and interfaces for computational linguists to make the best use of a developing product. We show a shallow database arrangement that has allowed a great variety of contributors from different projects to extend the lexical database while not breaking the continued use of existing end-applications. We hope to show both the best current practices for lexical data management and software engineering with regards to continuous external project integration of a constantly developing product. As case examples we show some of the integrations with following applications: Voikko spell-checking for Windows, Mac OS X, Linux and Android, statistical machine translation pipelines with moses, rule-based machine translation with apertium and traditional xerox style morphological analysis and generation. morphological segmentation, as well as application programming interfaces for python and Java.

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