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Morphological features of the Irish universal dependency treebank

Lynn, Teresa, Foster, Jennifer orcid logoORCID: 0000-0002-7789-4853 and Dras, Mark (2017) Morphological features of the Irish universal dependency treebank. In: 15th International Workshop on Treebanks and Linguistic Theories (TLT15), 20-21 Jan 2017, Bloomington, IN, USA.

Abstract
The Universal Dependencies Project1 (Nivre, [9]; Nivre et al., [10]) is an ongoing effort towards creating a set of harmonised dependency treebanks that are annotated and structured according to universal guidelines. This paper reports on the addition of morphological features to the Irish Universal Dependencies Treebank (IUDT). Our feature set subscribes to the feature inventory of the UD Project and has been mapped from Irish morpho-syntactic tags – the output of a Finite State Morphological Analyser for Irish (Uí Dhonnchadha and van Genabith [16]). Irish, a Celtic language, has some relatively unusual morphological features that require language-specific labels not covered by the universal feature set. In this paper, we summarise the Irish-specific features that we have added to this set by explaining the linguistic properties that they each describe. We also report on the first parsing experiments using the IUDT by assessing the effect that the inclusion of morphological features has on parsing accuracy.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Subjects:Computer Science > Machine learning
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Institutes and Centres > ADAPT
Published in: Dickinson, Markus, Hajič, Jan, Kübler, Sandra and Przepiórkowski, Adam, (eds.) Proceedings of the 15th International Workshop on Treebanks and Linguistic Theories (TLT15). CEUR Workshop Proceedings 1779. CEUR-WS.
Publisher:CEUR-WS
Official URL:http://ceur-ws.org/Vol-1779/09lynn.pdf
Copyright Information:© 2017 The Authors
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:ADAPT Centre for Digital Content Technology (www.adaptcentre.ie) at Dublin City University, funded under the SFI Research Centres Programme (Grant 13/RC/2106) and is co-funded under the European Regional Development Fund.
ID Code:23609
Deposited On:31 Jul 2019 11:24 by Thomas Murtagh . Last Modified 27 May 2020 11:00
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