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Application of finite-state transducers to the acquisition of verb subcategorization information

Published online by Cambridge University Press:  04 June 2003

I. ALDEZABAL ,
M. ARANZABE ,
K. GOJENOLA ,
M. ORONOZ ,
K. SARASOLA  and
A. ATUTXA
I. ALDEZABAL
Affiliation:
IXA group, Department of Computer Languages and Systems, University of the Basque Country, 649 P.K., 20080-Donostia, Spain e-mail: [email protected]
M. ARANZABE
Affiliation:
IXA group, Department of Computer Languages and Systems, University of the Basque Country, 649 P.K., 20080-Donostia, Spain e-mail: [email protected]
K. GOJENOLA
Affiliation:
IXA group, Department of Computer Languages and Systems, University of the Basque Country, 649 P.K., 20080-Donostia, Spain e-mail: [email protected]
M. ORONOZ
Affiliation:
IXA group, Department of Computer Languages and Systems, University of the Basque Country, 649 P.K., 20080-Donostia, Spain e-mail: [email protected]
K. SARASOLA
Affiliation:
IXA group, Department of Computer Languages and Systems, University of the Basque Country, 649 P.K., 20080-Donostia, Spain e-mail: [email protected]
A. ATUTXA
Affiliation:
Department of Linguistics, University of Maryland, College Park, MD 20742, USA e-mail: [email protected]
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Abstract

This paper presents the design and implementation of a finite-state syntactic grammar of Basque that has been used with the objective of extracting information about verb subcategorization instances from newspaper texts. After a partial parser has built basic syntactic units such as noun phrases, prepositional phrases, and sentential complements, a finite-state parser performs syntactic disambiguation, determination of clause boundaries and filtering of the results, in order to obtain a verb occurrence together with its associated syntactic components, either complements or adjuncts. The set of occurrences for each verb is then filtered by statistical measures that distinguish arguments from adjuncts.

Type
Research Article
Information
Natural Language Engineering , Volume 9 , Issue 1 , March 2003 , pp. 39 - 48
Copyright
© 2003 Cambridge University Press

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