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Monitor corpus of Slovene Trendi 2023-02
The Trendi corpus is a monitor corpus of Slovene. It contains news from 107 different media websites, published by 72 different publishers. Trendi 2023-02 covers the period from... -
Slovenian parliamentary corpus (1990-2018) siParl 2.0
The siParl corpus contains minutes of the Assembly of the Republic of Slovenia for 11th legislative period 1990-1992, minutes of the National Assembly of the Republic of... -
Monitor corpus of Slovene Trendi 2022-05
The Trendi corpus is a monitor corpus of Slovene. It contains news from 107 different media websites, published by 48 different publishers. Trendi 2022-05 covers the period from... -
Dependency tree extraction tool STARK 1.0
STARK is a python-based command-line tool for extraction of dependency trees from parsed corpora, aimed at corpus-driven linguistic investigations of syntactic phenomena of... -
Monitor corpus of Slovene Trendi 2022-10
The Trendi corpus is a monitor corpus of Slovene. It contains news from 106 different media websites, published by 48 different publishers. Trendi 2022-10 covers the period from... -
Service for querying dependency treebanks Drevesnik 1.0
Drevesnik (https://orodja.cjvt.si/drevesnik/) is an online service for querying syntactically parsed corpora in Slovenian using the Universal Dependencies annotation scheme with... -
Artificial Treebank with Ellipsis
Artificially created treebank of elliptical constructions (gapping), in the annotation style of Universal Dependencies. Data taken from UD 2.1 release, and from large web... -
Deep Universal Dependencies 2.4
Deep Universal Dependencies is a collection of treebanks derived semi-automatically from Universal Dependencies (http://hdl.handle.net/11234/1-2988). It contains additional... -
Universal Dependencies 1.1
Universal Dependencies is a project that seeks to develop cross-linguistically consistent treebank annotation for many languages, with the goal of facilitating multilingual... -
Deep Universal Dependencies 2.6
Deep Universal Dependencies is a collection of treebanks derived semi-automatically from Universal Dependencies (http://hdl.handle.net/11234/1-3226). It contains additional... -
Deep Universal Dependencies 2.7
Deep Universal Dependencies is a collection of treebanks derived semi-automatically from Universal Dependencies (http://hdl.handle.net/11234/1-3424). It contains additional... -
CoNLL 2017 and 2018 Shared Task Blind and Preprocessed Test Data
CoNLL 2017 and 2018 shared tasks: Multilingual Parsing from Raw Text to Universal Dependencies This package contains the test data in the form in which they ware presented to... -
Slavic Forest, Norwegian Wood (scripts)
Tools and scripts used to create the cross-lingual parsing models submitted to VarDial 2017 shared task (https://bitbucket.org/hy-crossNLP/vardial2017), as described in the... -
Deep Universal Dependencies 2.5
Deep Universal Dependencies is a collection of treebanks derived semi-automatically from Universal Dependencies (http://hdl.handle.net/11234/1-3105). It contains additional... -
UDify Pretrained Model
Pretrained model weights for the UDify model, and extracted BERT weights in pytorch-transformers format. Note that these weights slightly differ from those used in the paper. -
CoNLL 2018 Shared Task System Outputs
Test data parsed by systems submitted to the CoNLL 2018 UD parsing shared task. -
Deep Universal Dependencies 2.8
Deep Universal Dependencies is a collection of treebanks derived semi-automatically from Universal Dependencies (http://hdl.handle.net/11234/1-3687). It contains additional... -
Czesl - Universal Dependencies Release 0.5
Syntactic annotation of 1600 sentences from the Czesl-MAN corpus using the framework of Universal Dependencies 2.3 -
Terminal-based CoNLL-file viewer, v2
A simple way of browsing CoNLL format files in your terminal. Fast and text-based. To open a CoNLL file, simply run: ./view_conll sample.conll The output is piped through less,... -
Slavic Forest, Norwegian Wood (models)
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...