This paper deals with the automatic discrimination of contexts of Czech
ambiguous words. The Schutze's methodology was used, modified and transformed
for the Czech language. This algorithm is based on word space and 
clustering. The semantic discrimination could be understood as a subtask of
word sense disambiguation. In this approach, the sense of word is defined as
the  cluster of contexts of ambiguous word. We show that Schutze's method
is transportable into Czech. Our results are not so good as his because we have
experimented with a highly ambiguous word.