  To acquire noun phrases from running texts is useful for many applications,
such as word grouping,terminology indexing, etc. The reported literatures adopt
pure probabilistic approach, or pure rule-based noun phrases grammar to tackle
this problem. In this paper, we apply a probabilistic chunker to deciding the
implicit boundaries of constituents and utilize the linguistic knowledge to
extract the noun phrases by a finite state mechanism. The test texts are
SUSANNE Corpus and the results are evaluated by comparing the parse field of
SUSANNE Corpus automatically. The results of this preliminary experiment are
encouraging.
