ILK - Research and Applications

The growing availability of language corpora combined with large computing power has opened up exciting new possibilities for computer-aided language processing. ILK is a research programme in which inductive and memory-based learning algorithms are used for solving natural language problems.

An important component of the research carried out by ILK is the application of the developed learning methods to specific problems in language technology. Currently, ILK is involved in the following three major application areas:

 

ILK - Current Projects

Machine Learning as a Tool in Linguistic Research

Memory-Based Syntactic Analysis

Machine Learning Techniques for Linguistic Aspects of Speech Synthesis

Automatic Lexical Acquisition: Subcategorisation Frames

Machine Learning Algorithms for Natural Language Learning

Memory Models of Language

Automatic inductive learning techniques for planning systems

Scientific Programming

 

Last update: 24 January 2000