  A variety of statistical methods for noun compound analysis are implemented
and compared. The results support two main conclusions. First, the use of
conceptual association not only enables a broad coverage, but also improves the
accuracy. Second, an analysis model based on dependency grammar is
substantially more accurate than one based on deepest constituents, even though
the latter is more prevalent in the literature.
