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. 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.[1]
Deep vs Shallow Linguistic Processing
Traditionally, deep linguistic processing has been concerned with computational grammar development (for use in both parsing and generation).
References
- ^ Timothy Baldwin, Mark Dras, Julia Hockenmaier, Tracy Holloway King, and Gertjan van Noord. 2007. 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.
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