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.
@article{arxiv.cs/9811009,
title = {Choosing the Word Most Typical in Context Using a Lexical Co-occurrence Network},
author = {Philip Edmonds},
journal= {arXiv preprint arXiv:cs/9811009},
year = {2007}
}