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Start Over Contributor Ministerstvo školství, mládeže a tělovýchovy České republiky@@LM2015071@@LINDAT/CLARIN: Institut pro analýzu, zpracování a distribuci lingvistických dat@@nationalFunds@@ Contributor Univerzita Karlova v Praze (mimo GAUK)@@SVV 260 224@@Specifický vysokoškolský výzkum@@nationalFunds@@ Publisher Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL) Subject POS tagger

1. UDPipe

Creator:
Straka, Milan and Straková, Jana
Publisher:
Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
Type:
tool and toolService
Subject:
tokenizer, POS tagger, tagger, lemmatization, parser, dependency parser, and CoNLL-U
Language:
English
Description:
UDPipe is an trainable pipeline for tokenization, tagging, lemmatization and dependency parsing of CoNLL-U files. UDPipe is language-agnostic and can be trained given only annotated data in CoNLL-U format. Trained models are provided for nearly all UD treebanks. UDPipe is available as a binary, as a library for C++, Python, Perl, Java, C#, and as a web service. UDPipe 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. UDPipe is versioned using Semantic Versioning (http://semver.org/). UDPipe website http://ufal.mff.cuni.cz/udpipe contains download links of both the released packages and trained models, hosts documentation and offers online demo. UDPipe development repository http://github.com/ufal/udpipe is hosted on GitHub.
Rights:
Mozilla Public License 2.0, http://opensource.org/licenses/MPL-2.0, and PUB

2. Universal Dependencies 1.2 Models for UDPipe

Creator:
Straka, Milan
Publisher:
Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
Type:
tool and toolService
Subject:
tokenizer, POS tagger, lemmatization, tagger, parser, and dependency parser
Language:
English
Description:
Tokenizer, POS Tagger, Lemmatizer and Parser models for all Universal Depenencies 1.2 Treebanks, created solely using UD 1.2 data (http://hdl.handle.net/11234/1-1548). To use these models, you need UDPipe binary, which you can download from http://ufal.mff.cuni.cz/udpipe.
Rights:
Creative Commons - Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0), http://creativecommons.org/licenses/by-nc-sa/4.0/, and PUB

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  • Ministerstvo školství, mládeže a tělovýchovy České republiky@@LM2015071@@LINDAT/CLARIN: Institut pro analýzu, zpracování a distribuci lingvistických dat@@nationalFunds@@2
  • Univerzita Karlova v Praze (mimo GAUK)@@SVV 260 224@@Specifický vysokoškolský výzkum@@nationalFunds@@2

  • Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)2