Theme: Natural Language Processing

Topic: Verb Classes

One study of verbs has produced a classification of them into about 300 classes. This study presents information on the list of words of each class and the grammatical structures that reside with each class. The challenge is to implement programs that can identify each class and the elements in a sentence that match the corresponding structure of that verb class.


The aim of the project is to design a system that enables one to specify the grammatical structure of a verb class, its word members and other relevant lexical information and subsequently to tag a text with appropriate structural markers. Further extensions may involve identifying semantic contexts in which the verb class is used.

Supervisor: Jon Patrick