Hostname: page-component-77c89778f8-fv566 Total loading time: 0 Render date: 2024-07-19T05:58:49.611Z Has data issue: false hasContentIssue false

A lexicalist approach towards the automatic determination for the syntactic functions of prepositional phrases

Published online by Cambridge University Press:  04 January 2001

ALEX CHENGYU FANG
Affiliation:
Department of Phonetics and Linguistics, University College London, Gower Street, London WC1E 6BT, UK; e-mail: alex@phonetics.ucl.ac.uk

Abstract

Prepositional Phrases (PP) perform a variety of syntactic functions in a conventional sentence, and cause severe problems to computer systems that automatically analyse the sentential syntax. A major issue in this area has been the automatic determination of the syntactic functions of PPs. Most work published so far makes use of the probabilistic approach, and attach PPs to either the antecedent noun or verb phrase. Due to the natural limitation of the probabilistic approach, it is important to evaluate the linguistic behaviour of prepositional phrases and propose qualitative solutions to the problem. In this article, I first provide a detailed account of statistics regarding the frequency of use for (i) types of prepositions, (ii) syntactic categories as realisations of prepositional complements, and (iii) the syntactic functions of prepositional phrases. Statistics reported here all derive from a representative corpus of contemporary British English. I then describe a set of rules that has been implemented in order to label PPs automatically for their syntactic functions. I finally report on the coverage of these rules empirically observed in an experiment which involved a set of naturally occurring PPs as test data.

Type
Research Article
Copyright
© 2000 Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

The work described in this article was supported in part by the Engineering and Physical Science Research Council (UK), Grant Nos. GR/K75033, GR/L52109, and GR/L81406.