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Automatic generation of parallel treebanks: an efficient unsupervised system

Zhechev, Ventsislav (2009) Automatic generation of parallel treebanks: an efficient unsupervised system. PhD thesis, Dublin City University.

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Abstract

The need for syntactically annotated data for use in natural language processing has increased dramatically in recent years. This is true especially for parallel treebanks, of which very few exist. The ones that exist are mainly hand-crafted and too small for reliable use in data-oriented applications. In this work I introduce a novel open-source platform for the fast and robust automatic generation of parallel treebanks through sub-tree alignment, using a limited amount of external resources. The intrinsic and extrinsic evaluations that I undertook demonstrate that my system is a feasible alternative to the manual annotation of parallel treebanks. Therefore, I expect the presented platform to help boost research in the field of syntaxaugmented machine translation and lead to advancements in other fields where parallel treebanks can be employed.

Item Type:Thesis (PhD)
Date of Award:November 2009
Refereed:No
Additional Information:This work was carried out in the ATTEMPT project, funded by an award to Prof. Way by SFI under the Basic Research Grants scheme.
Supervisor(s):Way, Andy
Uncontrolled Keywords:parallel treebanks; machine translation; subtree alignment;
Subjects:Computer Science > Machine translating
Computer Science > Computational linguistics
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
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 3.0 License. View License
Funders:Science Foundation Ireland
ID Code:14909
Deposited On:12 Nov 2009 11:37 by Andrew Way. Last Modified 12 Nov 2009 11:37

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