Article and method of automatically filtering information retrieval results using test genre

The present invention relates to computational linguistics. In particular, the present invention relates to a method of automatically filtering searches of large, untagged, heterogeneous collections of machine-readable texts using text genre. A method of filtering according to text genre the results of a topic search of a heterogeneous corpus of untagged, machine-readable texts. Because each text of the corpus has a topic and a text genre, the corpus includes multiple text genres and covers multiple topics. According to the method, a processor first searches the corpus for a first multiplicity of texts that have a first topic. Next, the processor identifies a first set of texts of the first multiplicity that are instances of a first text genre and identifies a second set of texts of the first multiplicity that are instances of a second text genre. Finally, the processor identifies to a computer user the first multiplicity of texts in an order based upon the first text genre and second text genre.