4,412 datasets found

goo300k is a manually annotated reference corpus of historical Slovene. It contains 1,100 pages (about 300,000 tokens) sampled from 89 texts from the period 1584-1899. Each text...

The Czech RST Discourse Treebank 1.0 (CzRST-DT 1.0) is a dataset of 54 Czech journalistic texts manually annotated using the Rhetorical Structure Theory (RST). Each text...

The Pan-Latin Geothermal Energy Lexicon (Lessico panlatino dell’energia geotermica), developed within the Realiter network, contains the basic terms related to geothermal energy...

The model for UD dependency parsing of standard Bulgarian was built with the CLASSLA-Stanza tool (https://github.com/clarinsi/classla) by training on the UD-parsed portion of...

The model for lemmatisation of standard Bulgarian was built with the CLASSLA-Stanza tool (https://github.com/clarinsi/classla) by training on the BulTreeBank training corpus...

This model for morphosyntactic annotation of standard Bulgarian was built with the CLASSLA-Stanza tool (https://github.com/clarinsi/classla) by training on the BulTreeBank...

The model for lemmatisation of standard Macedonian was built with the CLASSLA-Stanza tool (https://github.com/clarinsi/classla-stanfordnlp) by training on the 1984 training...

This model for morphosyntactic annotation of standard Macedonian was built with the CLASSLA-Stanza tool (https://github.com/clarinsi/classla) by training on the 1984 training...

This model for morphosyntactic annotation of standard Bulgarian was built with the CLASSLA-StanfordNLP tool (https://github.com/clarinsi/classla-stanfordnlp) by training on the...

The model for lemmatisation of standard Macedonian was built with the CLASSLA-StanfordNLP tool (https://github.com/clarinsi/classla-stanfordnlp) by training on the 1984 training...

The model for lemmatisation of standard Bulgarian was built with the CLASSLA-StanfordNLP tool (https://github.com/clarinsi/classla-stanfordnlp) by training on the BulTreeBank...

The model for UD dependency parsing of standard Bulgarian was built with the CLASSLA-StanfordNLP tool (https://github.com/clarinsi/classla-stanfordnlp) by training on the...

Grammar Error Correction Corpus for Czech (GECCC) consists of 83 058 sentences and covers four diverse domains, including essays written by native students, informal website...

Grammar Error Correction Corpus for Czech (GECCC) consists of 83 058 sentences and covers four diverse domains, including essays written by native students, informal website...

The Q-CAT (Querying-Supported Corpus Annotation Tool) is a tool for manual linguistic annotation of corpora, which also enables advanced queries on top of these annotations. The...

The Greek web corpus MaCoCu-el 1.0 was built by crawling the ".gr", ".ελ", ".cy" and ".eu" internet top-level domains in 2023, extending the crawl dynamically to other domains...

The Ukrainian web corpus MaCoCu-uk 1.0 was built by crawling the ".ua" and ".укр" internet top-level domains in 2022, extending the crawl dynamically to other domains as well....

The Catalan web corpus MaCoCu-ca 1.0 was built by crawling the ".cat", ".es", ".ad", ".fr", ".it" and ".eu" internet top-level domains in 2022, extending the crawl dynamically...

The Icelandic web corpus MaCoCu-is 2.0 was built by crawling the ".is" internet top-level domain in 2021 and 2023, extending the crawl dynamically to other domains as well. The...

The hr500k training corpus contains about 500,000 tokens manually annotated on the levels of tokenisation, sentence segmentation, morphosyntactic tagging, lemmatisation and...