Prague Dependency Treebank -- Consolidated 1.0
This provides a consolidated and genre-diversified dataset for NLP applications and linguistic studies in Czech, but it is incremental as it builds on existing Prague Dependency Treebank standards.
The authors introduced the Prague Dependency Treebank-Consolidated 1.0 (PDT-C 1.0), a language resource with around 180,000 sentences of Czech text from diverse genres, uniformly annotated for morphological, surface, and deep syntactic analysis to support NLP tasks and linguistic research.
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.