Handbook of Natural Language Processing

Abstract

Symbolic approaches to natural language processing tokenisation and sentence segmentation lexical analysis parsing techniques semantic analysis discourse structure and intention recognition natural language generation intelligent writing assistance database interfaces information extraction the generation of reports from databases the generation of multimedia presentations machine translation dialogue systems - from theory to practice in TRAINS-96 empirical approaches to natural language processing corpus creation for data-intensive linguistics part-of-speech tagging alignment contextual word similarity computing similarity collocations statistical parsing authorship identificaiton and computational stylometry lexical knowledge acquisition example-based machine translation word-sense disambiguation NLP based on artificial neural-networks - introduction.