  We present a richly annotated and genre-diversified language resource, the
Prague Dependency Treebank-Consolidated 1.0 (PDT-C 1.0), the purpose of which
is - as it always been the case for the family of the Prague Dependency
Treebanks - to serve both as a training data for various types of NLP tasks as
well as for linguistically-oriented research. PDT-C 1.0 contains four different
datasets of Czech, uniformly annotated using the standard PDT scheme (albeit
not everything is annotated manually, as we describe in detail here). The texts
come from different sources: daily newspaper articles, Czech translation of the
Wall Street Journal, transcribed dialogs and a small amount of user-generated,
short, often non-standard language segments typed into a web translator.
Altogether, the treebank contains around 180,000 sentences with their
morphological, surface and deep syntactic annotation. The diversity of the
texts and annotations should serve well the NLP applications as well as it is
an invaluable resource for linguistic research, including comparative studies
regarding texts of different genres. The corpus is publicly and freely
available.
