Data-oriented parsing

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Data-oriented parsing (DOP, also data-oriented processing) is a probabilistic grammar formalism in computational linguistics. DOP was conceived by Remko Scha in 1990 with the aim of developing a performance-oriented grammar framework. Unlike other probabilistic formalisms, DOP takes into account all subtrees contained in a treebank rather than being restricted to, for example, 2-level subtrees (like PCFGs).

Several variants of DOP have been developed. The initial version was based on tree-substitution grammar, while more recently, DOP has been combined with lexical-functional grammar (LFG). The resulting DOP-LFG finds an application in machine translation.^[1]

[edit] References

1. ^ Andy Way (1999). A hybrid architecture for robust MT using LFG-DOP. Journal of Experimental & Theoretical Artificial Intelligence 11(3):441–471.