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Academic Paper

Title: Automated Extraction of Tree-Adjoining Grammars from Treebanks
Author: Srinivas Bangalore
Institution: AT&T Labs – Research
Linguistic Field: Computational Linguistics; Syntax; Text/Corpus Linguistics
Abstract: There has been a contemporary surge of interest in the application of stochastic models of parsing. The use of tree-adjoining grammar (TAG) in this domain has been relatively limited due in part to the unavailability, until recently, of large-scale corpora hand-annotated with TAG structures. Our goals are to develop inexpensive means of generating such corpora and to demonstrate their applicability to stochastic modeling. We present a method for automatically extracting a linguistically plausible TAG from the Penn Treebank. Furthermore, we also introduce labor-inexpensive methods for inducing higher-level organization of TAGs. Empirically, we perform an evaluation of various automatically extracted TAGs and also demonstrate how our induced higher-level organization of TAGs can be used for smoothing stochastic TAG models.


This article appears IN Natural Language Engineering Vol. 12, Issue 3, which you can READ on Cambridge's site or on LINGUIST .

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