-
Universal Dependencies 1.2 Models for Parsito
Parsing 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 Parsito binary,... -
Universal Dependencies 2.0 Models for UDPipe (2017-08-01)
Tokenizer, POS Tagger, Lemmatizer and Parser models for all 50 languages of Universal Depenencies 2.0 Treebanks, created solely using UD 2.0 data... -
Universal Dependencies 1.2 Models for UDPipe
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... -
UDPipe
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... -
Universal Dependencies 2.4 Models for UDPipe (2019-05-31)
Tokenizer, POS Tagger, Lemmatizer and Parser models for 90 treebanks of 60 languages of Universal Depenencies 2.4 Treebanks, created solely using UD 2.4 data... -
CoNLL 2018 Shared Task - UDPipe Baseline Models and Supplementary Materials
Baseline UDPipe models for CoNLL 2018 Shared Task in UD Parsing, and supplementary material. The models require UDPipe version at least 1.2 and are evaluated using the official... -
MSTperl parser (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)... -
Universal Dependencies 2.6 models for UDPipe 2 (2020-08-31)
Tokenizer, POS Tagger, Lemmatizer and Parser models for 99 treebanks of 63 languages of Universal Depenencies 2.6 Treebanks, created solely using UD 2.6 data... -
BitPar
Statistical parser -
Universal Dependencies 2.3 Models for UDPipe (2018-11-15)
Tokenizer, POS Tagger, Lemmatizer and Parser models for 84 treebanks of 56 languages of Universal Depenencies 2.3 Treebanks, created solely using UD 2.3 data... -
Universal Dependencies 2.10 models for UDPipe 2 (2022-07-11)
Tokenizer, POS Tagger, Lemmatizer and Parser models for 123 treebanks of 69 languages of Universal Depenencies 2.10 Treebanks, created solely using UD 2.10 data... -
CoNLL 2017 Shared Task - UDPipe Baseline Models and Supplementary Materials
Baseline UDPipe models for CoNLL 2017 Shared Task in UD Parsing, and supplementary material. The models require UDPipe version at least 1.1 and are evaluated using the official... -
Universal Dependencies 2.12 models for UDPipe 2 (2023-07-17)
Tokenizer, POS Tagger, Lemmatizer and Parser models for 131 treebanks of 72 languages of Universal Depenencies 2.12 Treebanks, created solely using UD 2.12 data... -
Czech PDT-C 1.0 Model for UDPipe 2 (2023-11-16)
Tokenizer, POS Tagger, Lemmatizer, and Parser model based on the PDT-C 1.0 treebank (https://hdl.handle.net/11234/1-3185). The model documentation including performance can be... -
Universal Dependencies 2.15 models for UDPipe 2 (2024-11-21)
Tokenizer, POS Tagger, Lemmatizer and Parser models for 147 treebanks of 78 languages of Universal Depenencies 2.15 Treebanks, created solely using UD 2.15 data... -
Universal Dependencies 2.5 Models for UDPipe (2019-12-06)
Tokenizer, POS Tagger, Lemmatizer and Parser models for 94 treebanks of 61 languages of Universal Depenencies 2.5 Treebanks, created solely using UD 2.5 data... -
Parsito
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... -
UDPipe 2
UDPipe 2 is a POS tagger, lemmatizer and dependency parser. Compared to UDPipe 1: UDPipe 2 is Python-only and tested only in Linux, UDPipe 2 is meant as a research tool,... -
MSTperl parser
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)... -
Chunker WS
Chunker-WS provides shallow parsing of Polish. The parser may be run against plain text (input format: text, then it runs WCRFT for tagging) or already tagged input (other input...
