Data-oriented parsing

Known as: DOP

Data-oriented parsing (DOP, also data-oriented processing) is a probabilistic model in computational linguistics. DOP was conceived by Remko Scha in…

Papers overview

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2010

Weighted finite-state string transducer cascades are a powerful formalism for models of solutions to many natural language…

2007

Data Oriented Parsing (DOP) is based on the idea of processing new input by combining fragments (associated with some…

2007

LFG-DOP is a powerful, hybrid model of language processing where the tree representations of Data-Oriented Parsing (DOP) are…

2006

This thesis explores certain linguistic and statistical extensions of Data-Oriented Parsing (DOP). The central idea in DOP is to…

2006

We analyze estimation methods for Data-Oriented Parsing, as well as the theoretical criteria used to evaluate them. We show that…

2003

It is well-known that there exist many syntactic and semantic dependencies that are not reflected directly in a surface tree. All…

2003

We present HPSG–DOP, a method for automatically extracting a Stochas-tic Lexicalized Tree Grammar (SLTG) from a HPSG source…

2001

Finding the most probable parse tree in the framework of Data-Oriented Parsing (DOP), a Stochastic Tree Substitution Parsing…

1995

We deal with the question as to whether there exists a polynomial time algorithm for computing the most probable parse tree of a…

1992

In a data-oriented parsing (DOP) system, sentences are parsed on the basis of language examples from a large analyzed corpus…