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GF-DOP: grammatical feature data-oriented parsing

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

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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.

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-toc.html
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 23 Nov 2010 15:57

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