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An Intelligent Editor For Natural Language Processing Of Unrestricted Text, Demetrios George Glinos
An Intelligent Editor For Natural Language Processing Of Unrestricted Text, Demetrios George Glinos
Retrospective Theses and Dissertations
The understanding of natural language by computational methods has been a continuing and elusive problem in artificial intelligence. In recent years there has been a resurgence in natural language processing research. Much of this work has been on empirical or corpus-based methods which use a data-driven approach to train systems on large amounts of real language data. Using corpus-based methods, the performance of part-of-speech (POS) taggers, which assign to the individual words of a sentence their appropriate part of speech category (e.g., noun, verb, preposition), now rivals human performance levels, achieving accuracies exceeding 95%. Such taggers have proved useful as …