Bopp, Stephan and Pedrazzini, Sandro (2009) Morphological Analysis Using Linguistically Motivated Decomposition of Unknown Words. In: Mahlow, Cerstin and Piotrowski, Michael, (eds.) State of the Art in Computational Morphology, Workshop on Systems and Frameworks for Computational Morphology. Communications in Computer and Information Science (41). Springer, Zurich. ISBN 978-3-642-04130-3
Full text not available from this repository.Abstract
Integrating the decomposition of unknown morphologically complex words can enhance the recognition rates of morphological analyzers. Using linguistically motivated strategies for this decomposition leads to even more expressive results. The approach described here uses word formation rules and filtering techniques to analyze and decompose words that are not contained in the underlying dictionary database. The average recognition rate of our German analyzers, applied to our test corpus, increased from 91% to 95,4%. Together with the current implementation, further future decomposition strategies will be presented.Integrating the decomposition of unknown morphologically complex words can enhance the recognition rates of morphological analyzers. Thereby uUsing linguistically motivated strategies for this decomposition leads to even more expressive results. The approach described here uses word formation rules and filtering techniquefilters to analyze and decompose words that are not contained in the underlying dictionary databaseused for the text analysis. The average recognition rate of the analyzers increases from 91% to 95,4%.
| Item Type: | Chapter in book |
|---|---|
| Subjects: | Computer sciences > Software engineering Computer sciences > Artificial intelligence > Speech & natural language processing |
| Department/unit: | Dipartimento tecnologie innovative |
| Depositing User: | Sandro Pedrazzini |
| Date Deposited: | 07 Feb 2013 08:25 |
| Last Modified: | 07 Feb 2013 08:25 |
| URI: | http://repository.supsi.ch/id/eprint/1836 |
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