Prague Dependency Treebank 2.0

Item Name: Prague Dependency Treebank 2.0
Author(s): Jan Hajič, Jarmila Panevová, Eva Hajičová, Petr Sgall, Petr Pajas, Jan Štěpánek, Jiří Havelka, Marie Mikulová, Zdeněk Žabokrtský, Magda Ševčíková-Razímová, Zdeňka Urešová
LDC Catalog No.: LDC2006T01
ISBN: 1-58563-370-4
ISLRN: 942-053-729-014-3
Release Date: July 21, 2006
Member Year(s): 2006
DCMI Type(s): Text
Data Source(s): journal articles, news magazine, newswire
Application(s): information extraction, information retrieval, language modeling, language teaching, parsing, tagging
Language(s): Czech
Language ID(s): ces
License(s): Prague Dependency Treebank 2.0
Online Documentation: LDC2006T01 Documents
Licensing Instructions: Subscription & Standard Members, and Non-Members
Citation: Hajič, Jan , et al. Prague Dependency Treebank 2.0 LDC2006T01. Web Download. Philadelphia: Linguistic Data Consortium, 2006.
Related Works: View


The Prague Dependency Treebank 2.0 (PDT 2.0) was developed by Charles University and contains approximately 2 million words of Czech text with complex and interlinked morphological, syntactic, and complex semantic annotation. In addition, certain properties of sentence information structure and coreference relations are annotated at the semantic level.

PDT 2.0 follows Prague Dependency Treebank 1.0 (LDC2001T10) and is based on the long-standing Praguian linguistic tradition, adapted for the current Computational Linguistics research needs. The corpus itself uses the latest annotation technology. Software tools for corpus search, annotation, and language analysis are included. Extensive documentation (in English) is provided as well.


The data in this corpus comes from four sources:

  • Lidové Noviny (daily newspapers), 1991, 1994, 1995
  • Mladá Fronta Dnes (daily newspapers), 1992
  • Českomoravský Profit (business weekly), 1994
  • Vesmír (scientific journal), 1992, 1993

The texts in electronic form have been provided by the Institute of the Czech National Corpus.

The data in PDT 2.0 are annotated on three layers—the morphological layer, analytical layer, and tectogrammatical layer. The following table shows the breakdown by annotation layer and source of data amounts in K-words (thousands of words). Each subsequent layer is additive, so everything that was annotated at the a-layer was also annotated at the m-layer, and everything annotated at the t-layer was also annotated at the other two layers.

Layer Lidové Noviny Mladá Fronta Dnes Českomoravský Profit Vesmír Total
m-layer 1,235 373 171 178 1,957
a-layer 920 234 171 178 1,504
t-layer 640 119 74 0 833

The primary data format for PDT 2.0 is an XML6-based format called PML. A SGML-based format, called CSTS, has been the primary format of PDT 1.0. It is now used only as an intermediate format in older NLP tools (such as taggers and parsers).

As usual, the data are divided into three groups: the training data, the development test data and the evaluation test data. The training data cover approximately 80%, development 10% and evaluation 10% of the whole set of data (these proportions hold for all the three layers of annotation).


For an example of the data in this corpus, please view these samples.


None at this time.

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