Modeling and encoding traditional wordlists for machine applications

Authors:
Shakthi Poornima;Jeff Good
Affiliations:
University at Buffalo, Buffalo, NY;University at Buffalo, Buffalo, NY
Venue:
NLPLING '10 Proceedings of the 2010 Workshop on NLP and Linguistics: Finding the Common Ground
Year:
2010

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Abstract

This paper describes work being done on the modeling and encoding of a legacy resource, the traditional descriptive wordlist, in ways that make its data accessible to NLP applications. We describe an abstract model for traditional wordlist entries and then provide an instantiation of the model in RDF/XML which makes clear the relationship between our wordlist database and interlingua approaches aimed towards machine translation, and which also allows for straightforward interoperation with data from full lexicons.