Paper Info
Title
Generating non-projective word order in statistical linearization
Abstract
We propose a technique to generate non-projective word orders in an efficient statistical linearization system. Our approach predicts liftings of edges in an unordered syntactic tree by means of a classifier, and uses a projective algorithm for tree linearization. We obtain statistically significant improvements on six typologically different languages: English, German, Dutch, Danish, Hungarian, and Czech.
Year
Venue
Keywords
2012
EMNLP-CoNLL
non-projective word order,projective algorithm,typologically different language,tree linearization,efficient statistical linearization system,generating non-projective word order,significant improvement,unordered syntactic tree
Field
DocType
Volume
Czech,Word order,Computer science,Natural language processing,Artificial intelligence,Classifier (linguistics),Syntax,Danish,Linearization,Machine learning,German,Projective test
Conference
D12-1
Citations 
PageRank 
References 
0
0.34
29
Authors
5
Name
Order
Citations
PageRank
Bernd Bohnet152438.19
Anders Björkelund218013.06
Jonas Kuhn311513.05
wolfgang seeker412110.56
Sina Zarrieß5358.65