The role of PP attachment in preposition generation

Authors:
John Lee;Ola Knutsson
Affiliations:
Spoken Language Systems, MIT Computer Science and Artificial Intelligence Laboratory, Cambridge;School of Computer Science and Communication, Royal Institute of Technology, Stockholm, Sweden
Venue:
CICLing'08 Proceedings of the 9th international conference on Computational linguistics and intelligent text processing
Year:
2008

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Abstract

This paper is concerned with the task of preposition generation in the context of a grammar checker. Relevant features for this task can range from lexical features, such as words and their part-of-speech tags in the vicinity of the preposition, to syntactic features that take into account the attachment site of the prepositional phrase (PP), as well as its argument/adjunct distinction. We compare the performance of these different kinds of features in a memory-based learning framework. Experiments show that using PP attachment information can improve preposition generation accuracy on Wall Street Journal texts.