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Category:   E-Material
Subject:   New suite of linguistically-motivated NLP tools available
Email:   Stephen.Clark_(on)_comlab.ox.ac.uk
Date received:   08 Jun 2007

Version 1.0 of the C&C language processing tools is now freely available for research use. A feature of the tools is the combination of robust, efficient, wide-coverage language processing with detailed linguistic output. We have used the tools to analyse the entire Gigaword corpus (1 billion words) in only 5 days using 18 processors. This speed of analysis, robustness and wide-coverage, combined with a high level of linguistic detail, represents a breakthrough in NLP technology. The tools comprise: * Wide-coverage parser based on Combinatory Categorial Grammar. The parser recovers labelled *predicate-argument dependencies* from CCGbank at over 85 0.000000-score, and from Depbank at over 81 0.000000-score. * The semantics tool Boxer which takes the output of the C&C parser and taggers and produces output in the form of Discourse Representation Structures. * A number of Maximum Entropy taggers: POS tagger, chunker, CCG supertagger, and Named Entity Recognizer. The tools are written in C++ (except Boxer, which is in Prolog) and have been designed for large-scale NLP tasks which require sophisticated linguistic processing. The parser and taggers have been developed by James R. Curran and Stephen Clark. Boxer has been developed by Johan Bos. The tools, including source code, can be downloaded from: http://svn.ask.it.usyd.edu.au/trac/candc/wiki -- Stephen Clark Lecturer in Computer Science Oxford University Computing Laboratory Fellow of Keble College Member of the Oxford Computational Linguistics Group http://www.comlab.ox.ac.uk/stephen.clark/ _______________________________________________ Elsnet-list mailing list Elsnet-list_(on)_elsnet.org http://mailman.elsnet.org/mailman/listinfo/elsnet-list

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