Genre Adaptation for Morphological and Syntactic Parsing of the Russian language: a Corpus Study

This paper describes a study examining the features of the genres extracted from the text directly and suitable both for classification tasks and for adapting models of automatic morphological and syntactic tagging on data from various genres. The purpose of this work is to identify and describe the significant features of the genre, received from big data exclusively from the texts themselves (without the use of metadata, information about the author, date, literary style and method, etc.). Based on the selected features, it is explored how texts can be delimited according to one of the mostly used philological classifications with these features and the hypothesis whether with reliance solely on text-internal features texts can be grouped by genre quite successfully or not is being checked. The ideas of model adaptation for automatic morphological and syntactic parsing are proposed based on the most important features discovered.