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'''Deep linguistic processing''' is a [[natural language processing]] framework which draws on theoretical and [[descriptive linguistics]]. It models language predominantly by way of theoretical syntactic/semantic theory (e.g. [[Combinatory categorial grammar|CCG]], [[HPSG]], [[Lexical functional grammar|LFG]], [[Tree-adjoining grammar|TAG]], the [[Prague School]]). Deep linguistic processing approaches differ from "shallower" methods in that they yield more expressive and structural representations which directly capture [[long-distance dependencies]] and underlying [[predicate (grammar)|predicate]]-[[argument]] structures.<ref>Timothy Baldwin, Mark Dras, Julia Hockenmaier, Tracy Holloway King, and Gertjan van Noord. 2007. [http://dl.acm.org/citation.cfm?id=1621410.1621415 The impact of deep linguistic processing on parsing technology]. In Proc. of the 10th International Workshop on Parsing Technologies (IWPT-2007), pages 36–8, Prague, Czech Republic.</ref> <br/>
The knowledge-intensive approach of deep linguistic processing requires considerable computational power, and has in the past sometimes been judged as being intractable. However, research in the early 2000s had made considerable advancement in efficiency of deep processing.<ref>Ulrich Callmeier. [http://dl.acm.org/citation.cfm?id=973952.973959 PET – A platform for experimentation with efficient HPSG processing techniques]. Natural Language Engineering, 6(1):99 – 108, 2000.</ref><ref>Hans Uszkoreit. [http://acl.ldc.upenn.edu/coling2002/proceedings/data/area-01/uszkoreit.pdf New Chances for Deep Linguistic Processing] {{Webarchive|url=https://web.archive.org/web/20051103081050/http://acl.ldc.upenn.edu/coling2002/proceedings/data/area-01/uszkoreit.pdf |date=2005-11-03 }}. In Proceedings of COLING 2002, pages xiv–xxvii, Taipei, Taiwan, 2002.</ref> Today, efficiency is no longer a major problem for applications using deep linguistic processing.
==Contrast to "shallow linguistic processing"==
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