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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.

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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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