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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… 
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Papers overview

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2016
2016
Statistical parsers are e ective but are typically limited to producing projective dependencies or constituents. On the other… 
2007
2007
This paper explores a parsimonious approach to Data-Oriented Parsing. While allowing, in principle, all possible subtrees of… 
2007
2007
Data Oriented Parsing (DOP) is based on the idea of processing new input by combining fragments (associated with some… 
2006
2006
This thesis explores certain linguistic and statistical extensions of Data-Oriented Parsing (DOP). The central idea in DOP is to… 
Highly Cited
2005
Highly Cited
2005
Given a sequence of samples from an unknown probability distribution, a statistical estimator aims at providing an approximate… 
2005
2005
The merits of combining the positive elements of the rule-based and data-driven approaches to MT are clear: a combined model has… 
2004
2004
We present an investigation into parsing the Penn Chinese Treebank using a Data-Oriented Parsing (DOP) approach. DOP comprises… 
2003
2003
It is well-known that there exist many syntactic and semantic dependencies that are not reflected directly in a surface tree. All… 
Highly Cited
2000
Highly Cited
2000
In this article, we present a statistical approach to machine translation that is based on Data-Oriented Parsing: Data-Oriented… 
1992
1992
In a data-oriented parsing (DOP) system, sentences are parsed on the basis of language examples from a large analyzed corpus…