W04-2003 of the theory that is used for large-scale parsing . An evaluation at the grammatical
P15-1113 represent derivation histories under large-scale parsing ex - periments . He employed
W00-1601 comparison of the efficiency of large-scale parsing systems . We focus on ( 1 ) grammars
W02-1510 and methods for a development of large-scale parsing systems . We have argued that
P12-1046 grammar tractable and practical for large-scale parsing . The manual symbol refinement
W15-0116 a tractable representation for large-scale parsing and generation , while not sacrificing
W02-1510 indispensable for realistic development of large-scale parsing systems . We also emphasize the
N03-3006 English </title> Gerold Abstract Large-scale parsing is still a complex and timeconsuming
W13-4917 task is on par with the latest large-scale parsing evaluation campaign SANCL 2012
W00-1601 of the efficiency of different large-scale parsing systems . 2 Grammars and Data
W04-2003 Deep-Linguistic Theory Applied to Large-Scale Parsing </title> Gerold Schneider James
W04-2001 Deep-Linguistic Theory Applied to Large-Scale Parsing " , presents an efficient state-of-the-art
W04-2003 dependencies and robust enough to do large-scale parsing of totally unrestricted texts
N01-1029 compared to other recent work on large-scale parsing , but may be partly due to the
S14-2056 Acknowledgements Data preparation and large-scale parsing in the DM target representation
W00-1601 grammar development environments and large-scale parsing systems supply facilities to
W04-2000 deep-linguistic theory applied to large-scale parsing , Gerold Schneider , James Dowdall
W00-1600 Ronald M. Kaplan 3 Papers Efficient Large-Scale Parsing a Survey John Carroll , Stephan
W04-2000 deep-linguistic theory applied to large-scale parsing , Gerold Schneider , James Dowdall
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