  This paper presents a partial solution to a component of the problem of
lexical choice: choosing the synonym most typical, or expected, in context. We
apply a new statistical approach to representing the context of a word through
lexical co-occurrence networks. The implementation was trained and evaluated on
a large corpus, and results show that the inclusion of second-order
co-occurrence relations improves the performance of our implemented lexical
choice program.
