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The role of PP attachment in preposition generation
KTH, School of Computer Science and Communication (CSC), Numerical Analysis and Computer Science, NADA.
2008 (English)Conference paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
2008. 643-654 p.
, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 03029743
Keyword [en]
Computational linguistics, Linguistics, Plastic products, Pumping plants, Text processing, Word processing, Attachment site, Intelligent text processing, International conferences, Lexical features, Memory-based learning, Part-of-Speech tagging, Prepositional phrase, Syntactic features, Wall Street Journal, Data storage equipment
National Category
Computer Science
URN: urn:nbn:se:kth:diva-154437DOI: 10.1007/978-3-540-78135-6_55ISI: 000253658200055ScopusID: 2-s2.0-49949090131ISBN: 354078134XISBN: 9783540781349OAI: diva2:758795
9th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2008; Haifa; Israel; 17-23 February 2008

QC 20141028

Available from: 2014-10-28 Created: 2014-10-20 Last updated: 2014-10-28Bibliographically approved

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ReferencesLink to record
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