Increasing NLP Parsing Efficiency with Chunking

We introduce a “Chunk-and-Pass” parsing technique influenced by a psycholinguistic model, where linguistic information is processed not word-by-word but rather in larger chunks of words. We present preliminary results that show that it is feasible to compress linguistic data into chunks without sign...

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Bibliographic Details
Main Authors: Mark Dáibhidh Anderson, David Vilares
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Proceedings
Subjects:
NLP
Online Access:http://www.mdpi.com/2504-3900/2/18/1160