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Name
LINDAT/CLARIN repository
Type
Data Repository
Items
39 Research Data
Compatibility
OpenAIRE Data (funded, referenced datasets)
OAI-PMH
http://lindat.mff.cuni.cz/repository/oai/openaire_data
More information
Detailed data provider information (Re3data)

 

  • No data provider publications found
  • English-Hindi Parallel Corpus

    Bojar, Ondřej; Straňák, Pavel; Zeman, Daniel; Jain, Gaurav; Damani, Om Prakesh (2010)
    Publisher: Charles University in Prague, UFAL
    Projects: EC | EUROMATRIXPLUS (231720)
    Embargo end date: 2011/11/07
    English-Hindi parallel corpus collected from several sources. Tokenized and sentence-aligned. A part of the data is our patch for the Emille parallel corpus.

    MSTperl parser

    Rosa, Rudolf (2014)
    Publisher: Charles University in Prague, UFAL
    Projects: EC | QTLEAP (610516)
    Embargo end date: 2014/04/07
    MSTperl is a Perl reimplementation of the MST parser of Ryan McDonald (http://www.seas.upenn.edu/~strctlrn/MSTParser/MSTParser.html). MST parser (Maximum Spanning Tree parser) is a state-of-the-art natural language dependency parser -- a tool that takes a sentence and returns its dependency tree. In MSTperl, only some functionality was implemented; the limitations include the following: the parser is a non-projective one, curently with no possibility of enforcing the requirement of...

    Slavic Forest, Norwegian Wood (models)

    Rosa, Rudolf; Zeman, Daniel; Mareček, David; Žabokrtský, Zdeněk (2017)
    Publisher: Charles University, UFAL
    Projects: EC | HimL (644402)
    Embargo end date: 2017/03/24
    Trained models for UDPipe used to produce our final submission to the Vardial 2017 CLP shared task (https://bitbucket.org/hy-crossNLP/vardial2017). The SK model was trained on CS data, the HR model on SL data, and the SV model on a concatenation of DA and NO data. The scripts and commands used to create the models are part of separate submission (http://hdl.handle.net/11234/1-1970). The models were trained with UDPipe version 3e65d69 from 3rd Jan 2017, obtained from https://github.com/u...

    MSTperl parser (2015-05-19)

    Rosa, Rudolf (2015)
    Publisher: Charles University in Prague, UFAL
    Projects: EC | FAUST (247762)
    Embargo end date: 2015/05/19
    MSTperl is a Perl reimplementation of the MST parser of Ryan McDonald (http://www.seas.upenn.edu/~strctlrn/MSTParser/MSTParser.html). MST parser (Maximum Spanning Tree parser) is a state-of-the-art natural language dependency parser -- a tool that takes a sentence and returns its dependency tree. In MSTperl, only some functionality was implemented; the limitations include the following: the parser is a non-projective one, curently with no possibility of enforcing the requirement of...

    Czech-English Parallel Corpus 1.0 (CzEng 1.0)

    CzEng 1.0 is the fourth release of a sentence-parallel Czech-English corpus compiled at the Institute of Formal and Applied Linguistics (ÚFAL) freely available for non-commercial research purposes. CzEng 1.0 contains 15 million parallel sentences (233 million English and 206 million Czech tokens) from seven different types of sources automatically annotated at surface and deep (a- and t-) layers of syntactic representation.
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