Deep linguistic processing: Difference between revisions

Revision as of 12:10, 4 July 2012

Revision as of 12:13, 4 July 2012

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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]], [[LFG]], [[TAG]], the [[Prague School]]). The Deep Linguistic Processing approaches differ from shallower methods in that they yield richer, more expressive, structural representation which capture [[long-distance dependencies]] or the underlying [[predicate]]-[[arguement]] structure directly.<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]. In Proceedings of COLING 2002, pages xiv–xxvii, Taipei, Taiwan, 2002.</ref>

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In sentence B, a shallow system could wrongly infer that Israel was establish in May 1971. Instead, humanly we know that it is the National Institute for Psychobiology that was establish in 1971.<br>

In summary of the comparison between deep and shallow language processing, deep linguistic processing provides a knowledge-rich analysis of language through manually developed grammars and language resources. Whereas, shallow linguistic processing provides a knowledge-lean analysis of language through statistical/machine learning manipulation of texts and/or [[Annotation |annotated lingusitic]] resource.

==See also==

*[[Natural language processing]]

*[[Head-driven_phrase_structure_grammar]]

*[[

==References==