Evaluating parts-of-speech taggers for use in a text-to-scene conversion system

Glass, K. R. and Bangay, S.D. (2005) Evaluating parts-of-speech taggers for use in a text-to-scene conversion system. In: Proceedings of the 2005 annual research conference of the South African institute of computer scientists and information technologists on IT research in developing countries, September, 2005, White River, South Africa.

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Abstract

This paper presents parts-of-speech tagging as a first step towards an autonomous text-to-scene conversion system. It categorizes some freely available taggers, according to the techniques used by each in order to automatically identify word-classes. In addition, the performance of each identified tagger is verified experimentally. The SUSANNE corpus is used for testing and reveals the complexity of working with different tagsets, resulting in substantially lower accuracies in our tests than in those reported by the developers of each tagger. The taggers are then grouped to form a voting system to attempt to raise accuracies, but in no cases do the combined results improve upon the individual accuracies. Additionally a new metric, agreement, is tentatively proposed as an indication of confidence in the output of a group of taggers where such output cannot be validated.

Item Type:Conference or Workshop Item (Paper)
Additional Information:
Uncontrolled Keywords:corpora; parts-of-speech tagging; evaluation; ensembles; computing methodologies; artificial intelligence; natural language processing; language parsing and understanding; languages; measurement; verification
Subjects:Y Unknown > Subjects to be assigned
Divisions:Faculty > Faculty of Science > Computer Science
ID Code:826
Deposited By: Mr Kevin Glass
Deposited On:17 Oct 2007
Last Modified:01 Aug 2012 08:15
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