Shallow parsing (also chunking, “light parsing”) is an analysis of a sentence which identifies the constituents (noun groups, verbs, verb groups, etc.), but does not specify their internal structure, nor their role in the main sentence.
It is a technique widely used in natural language processing. It is similar to the concept of lexical analysis for computer languages.
There are several parsing methods:
- Voting model
- Maximum entrophy
- Language model
- Support vector machines
- Shallow Semantic Parsing (2009, February 8) In Wikipedia: The free encyclopedia. Retrieved 16:21, March 2009 from http://en.wikipedia.org/wiki/Shallow_parsing
- Statistical Shallow Semantic Parsing despite Little Training Data. Retrieved 16:22, March 31 from http://people.ict.usc.edu/~leuski/publications/papers/IWPT05-Bhagat.pdf
Posted in hlt, littera Tagged: Shallow semantic parsing 
