Transforming Dependency Structures to LTAG Derivation Trees
Résumé
We propose a new algorithm for parsing Lexicalized Tree Adjoining Grammars (LTAGs) which uses pre-assigned bilexi-cal dependency relations as a filter. That is, given a sentence and its corresponding well-formed dependency structure, the parser assigns elementary trees to words of the sentence and return attachment sites compatible with these elementary trees and predefined dependencies. Moreover, we prove that this algorithm has a linear-time complexity in the input length. This algorithm returns all compatible derivation trees as a packed forest. This result is of practical interest to the development of efficient weighted LTAG parsers based on derivation tree decoding.
Domaines
Informatique et langage [cs.CL]
Origine : Fichiers éditeurs autorisés sur une archive ouverte
Loading...