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Cross-lingual transfer parsing for low-resourced languages: an Irish case study

Lynn, Teresa, Foster, Jennifer orcid logoORCID: 0000-0002-7789-4853, Dras, Mark orcid logoORCID: 0000-0001-9908-7182 and Tounsi, Lamia (2014) Cross-lingual transfer parsing for low-resourced languages: an Irish case study. In: First Celtic Language Technology Workshop, 23 Aug 2014, Dublin, Ireland.

Abstract
We present a study of cross-lingual direct transfer parsing for the Irish language. Firstly we discuss mapping of the annotation scheme of the Irish Dependency Treebank to a universal dependency scheme. We explain our dependency label mapping choices and the structural changes required in the Irish Dependency Treebank. We then experiment with the universally annotated treebanks of ten languages from four language family groups to assess which languages are the most useful for cross-lingual parsing of Irish by using these treebanks to train delexicalised parsing models which are then applied to sentences from the Irish Dependency Treebank. The best results are achieved when using Indonesian, a language from the Austronesian language family.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Refereed:Yes
Uncontrolled Keywords:Irish language; Gaeilge; Indonesian; delexicalised parsing models;
Subjects:Computer Science > Machine translating
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Institutes and Centres > ADAPT
Published in: Judge, John, Lynn, Teresa, Ward, Monica and Ó Raghallaigh, Brian, (eds.) Proceedings of the First Celtic Language Technology Workshop. . Association for Computational Linguistics and Dublin City University.
Publisher:Association for Computational Linguistics and Dublin City University
Official URL:http://dx.doi.org/10.3115/v1/W14-4606
Copyright Information:© 2014 The Authors. Creative Commons Attribution 4.0 International Licence
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland (Grant 12/CE/I2267) as part of the CNGL (www.cngl.ie) at Dublin City University
ID Code:23601
Deposited On:26 Jul 2019 11:08 by Thomas Murtagh . Last Modified 16 May 2022 13:07
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