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GF-DOP: grammatical feature data-oriented parsing

Finn, Ríona, Hearne, Mary, Way, Andy orcid logoORCID: 0000-0001-5736-5930 and van Genabith, Josef (2006) GF-DOP: grammatical feature data-oriented parsing. In: Lexical Functional Grammar 2006, 10-13 Kuly 2006, Konstanz, Germany.

Abstract
This paper proposes an extension of Tree-DOP which approximates the LFG-DOP model. GF-DOP combines the robustness of the DOP model with some of the linguistic competence of LFG. LFG c-structure trees are augmented with LFG functional information, with the aim of (i) generating more informative parses than Tree-DOP; (ii) improving overall parse ranking by modelling grammatical features; and (iii) avoiding the inconsistent probability models of LFG-DOP. In a number of experiments on the HomeCentre corpus, we report on which (groups of) features most heavily influence parse quality, both positively and negatively.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:lexical functional grammar;
Subjects:Computer Science > Machine translating
DCU Faculties and Centres:Research Initiatives and Centres > National Centre for Language Technology (NCLT)
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Publisher:CSLI Publications
Official URL:http://csli-publications.stanford.edu/LFG/11/lfg06...
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Irish Research Council for Science Engineering and Technology, Science Foundation Ireland
ID Code:15274
Deposited On:10 Mar 2010 14:52 by DORAS Administrator . Last Modified 16 Nov 2018 11:16
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