Abstract

The evaluation of grammar inference systems is clearly a non-trivial task, as it is possible to have more than one correct grammar for a given language. The 'looks good to me' approach, carried out by computational linguists analysing their own grammar inference system results, has prevailed for many years. This paper explores why this method has been so popular, in terms of its strengths, and also why it is no longer adequate as a reliable means to measuring performance. Corpus based methods, that can be performed automatically, are investigated to see how they can meet the needs of this difficult problem.

< Back