Towards a synthesis of knowledge based and data-based methods in computer linguistics.

Hybrid systems for natural language processing that combine deep analysis, based on linguistic insight, with inductive data-oriented methods, can provide a significant improvement of the accuracy and applicability of computational linguistics. There are, however, many different ways in which this kind of hybridisation can be achieved. In this project, I will look at cognitive science as an inspiration source for new hybrid approaches. This work will build on earlier work on memory-based language processing as a cognitively relevant model.

Keywords:COMPUTER LINGUISTICS, MACHINE LEARNING, DATA MINING

Disciplines:Applied mathematics in specific fields, Computer architecture and networks, Distributed computing, Information sciences, Information systems, Programming languages, Scientific computing, Theoretical computer science, Visual computing, Other information and computing sciences, Linguistics, Theory and methodology of linguistics, Other languages and literary studies