Shallow parsing

Shallow parsing (also chunking, "light parsing") is an analysis of a sentence which identifies the constituents (noun groups or phrases, 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. Under the name of the Shallow Structure Hypothesis, it is also used as an explanation for why second language learners often fail to parse sentences that are complex correctly.

External links

• {[cite web|url=http://aclweb.org/aclwiki/index.php?title=NP_Chunking_(State_of_the_art)%7Ctitle=NP Chunking (State of the art)|accessdate=2016-01-30|publisher= Association for Computational Linguistics}}
• Abney, Steven (1991), Parsing By Chunks (PDF), Kluwer Academic Publishers, pp. 257–278 {{citation}}: Unknown parameter |booktitle= ignored (help).
• Clahsen, Harald, and Claudia Felser. (2006). Grammatical processing in language learners. Applied Psycholinguistics 27, p. 3-42.
• Apache OpenNLP OpenNLP includes a chunker.
• GATE General Architecture for Text Engineering GATE includes a chunker.
• NLTK chunking
• Illinois Shallow Parser Shallow Parser Demo

See also

• Parser
• Semantic role labeling
• Named entity recognition