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ILSP Feature-based multi-tiered POS Tagger
ILSP FBT Tagger is an adaptation of the Brill tagger trained on Greek text. It uses a PAROLE compatible tagset of 584 different tags which capture the morphosyntactic... -
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... -
CorpusExplorer
Software for corpus linguists and text/data mining enthusiasts. The CorpusExplorer combines over 45 interactive visualizations under a user-friendly interface. Routine tasks... -
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... -
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... -
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,... -
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... -
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... -
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... -
EvaLatin 2020 models for UDPipe 2 (2020-08-31)
POS Tagger and Lemmatizer models for EvaLatin2020 data (https://github.com/CIRCSE/LT4HALA). The model documentation including performance can be found at... -
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... -
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... -
TreeTagger
A part-of-speech tagger and lemmatizer for several languages. -
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... -
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 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... -
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...
