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CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
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BASE
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| 62 |
Universal Dependencies 1.2 Models for UDPipe
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Straka, Milan. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2016
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BASE
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| 64 |
Czech Models (MorfFlex CZ 160310 + PDT 3.0) for MorphoDiTa 160310
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Straka, Milan; Straková, Jana. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2016
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BASE
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| 65 |
WordSim353-cs: Evaluation Dataset for Lexical Similarity and Relatedness, based on WordSim353
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BASE
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| 67 |
Czech Models (MorfFlex CZ 161115 + PDT 3.0) for MorphoDiTa 161115
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Straka, Milan; Straková, Jana. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2016
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BASE
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| 70 |
Universal Dependencies 1.2 Models for Parsito
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Straka, Milan. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2015
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BASE
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| 71 |
Parsito
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Straka, Milan. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2015
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Abstract:
Parsito is a fast open-source dependency parser written in C++. Parsito is based on greedy transition-based parsing, it has very high accuracy and achieves a throughput of 30K words per second. Parsito can be trained on any input data without feature engineering, because it utilizes artificial neural network classifier. Trained models for all treebanks from Universal Dependencies project are available (37 treebanks as of Dec 2015). Parsito is a free software under Mozilla Public License 2.0 (http://www.mozilla.org/MPL/2.0/) and the linguistic models are free for non-commercial use and distributed under CC BY-NC-SA (http://creativecommons.org/licenses/by-nc-sa/4.0/) license, although for some models the original data used to create the model may impose additional licensing conditions. Parsito website http://ufal.mff.cuni.cz/parsito contains download links of both the released packages and trained models, hosts documentation and offers online demo. Parsito development repository http://github.com/ufal/parsito is hosted on GitHub.
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Keyword:
dependency parser; parser
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URL: http://hdl.handle.net/11234/1-1584
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BASE
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| 75 |
English Models (Morphium + WSJ) for MorphoDiTa
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Straka, Milan; Straková, Jana. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2014
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BASE
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| 79 |
Czech Models (MorfFlex CZ + PDT) for MorphoDiTa
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Straka, Milan; Straková, Jana. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2014
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BASE
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| 80 |
MorphoDiTa: Morphological Dictionary and Tagger
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Straka, Milan; Straková, Jana. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2014
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BASE
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