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The Trankit model for linguistic processing of spoken and written Slovenian 1.1
This is a retrained Slovenian model for the Trankit v1.1.1 library for multilingual natural language processing (https://pypi.org/project/trankit/), trained on the concatenation... -
Croatian Twitter training corpus ReLDI-NormTag-hr 1.0
ReLDI-NormTag-hr 1.0 is a manually annotated corpus of Croatian tweets. It is meant as a gold-standard training and testing dataset for tokenisation, sentence segmentation, word... -
Training corpus ssj500k 2.2
The ssj500k training corpus contains about 500,000 tokens manually annotated on the levels of tokenisation, sentence segmentation, morphosyntactic tagging, and lemmatisation.... -
Training corpus ssj500k 2.1
The ssj500k training corpus contains about 500,000 tokens manually annotated on the levels of tokenisation, sentence segmentation, morphosyntactic tagging, and lemmatisation.... -
Training corpus ssj500k 2.0
The ssj500k training corpus contains about 500,000 tokens manually annotated on the levels of tokenisation, sentence segmentation, morphosyntactic tagging, and lemmatisation.... -
Serbian Twitter training corpus ReLDI-NormTag-sr 1.1
ReLDI-NormTag-sr 1.1 is a manually annotated corpus of Serbian tweets. It is meant as a gold-standard training and testing dataset for tokenisation, sentence segmentation, word... -
CMC training corpus Janes-Norm 1.2
Janes-Norm is a manually annotated corpus of Slovene Computer-Mediated Communication (CMC). It is meant as a gold-standard training and testing dataset for tokenisation,... -
Annotated sample of the Slovenian Biographical Lexicon SBL-51abbr 1.0
This dataset consists of 51 randomly selected entries from the Slovenian Biographical Lexicon (1925–1991). The text of each entry has been manually tokenised and sentence... -
CMC training corpus Janes-Tag 1.1
Janes-Tag is a manually annotated corpus of Slovene Computer-Mediated Communication (CMC). It is meant as a gold-standard training and testing dataset for tokenisation, sentence... -
CMC training corpus Janes-Tag 3.0
Janes-Tag is a manually annotated corpus of Slovene Computer-Mediated Communication (CMC) consisting of about 15,000 short texts (190,000 words), mostly tweets but also blogs,... -
Croatian Twitter training corpus ReLDI-NormTagNER-hr 2.0
ReLDI-NormTagNER-hr 2.0 is a manually annotated corpus of Croatian tweets. It is meant as a gold-standard training and testing dataset for tokenisation, sentence segmentation,... -
CMC training corpus Janes-Syn 1.0
Janes-Syn is a syntactically annotated corpus of Slovene tweets and is meant as a gold-standard training and testing dataset for syntactic annotation of Slovene... -
Serbian linguistic training corpus SETimes.SR 2.0
The SETimes.SR training corpus contains around 100,000 tokens manually annotated on the levels of tokenisation, sentence segmentation, morphosyntactic tagging, lemmatisation,... -
CMC training corpus Janes-Tag 2.0
Janes-Tag is a manually annotated corpus of Slovene Computer-Mediated Communication (CMC). It is meant as a gold-standard training and testing dataset for tokenisation, sentence... -
Training corpus ssj500k 1.3
The ssj500k training corpus is based on two training corpora built within the JOS project (https://nl.ijs.si/jos/). It contains the jos100k corpus and additional material from... -
CMC training corpus Janes-Norm 1.0
Janes-Norm is a manually annotated corpus of Slovene Computer-Mediated Communication (CMC). It is meant as a gold-standard training and testing dataset for tokenisation,... -
CMC training corpus Janes-Tag 1.0
Janes-Tag is a manually annotated corpus of Slovene Computer-Mediated Communication (CMC). It is meant as a gold-standard training and testing dataset for tokenisation, sentence... -
Serbian Twitter training corpus ReLDI-NormTag-sr 1.0
ReLDI-NormTag-sr 1.0 is a manually annotated corpus of Serbian tweets. It is meant as a gold-standard training and testing dataset for tokenisation, sentence segmentation, word... -
Croatian linguistic training corpus hr500k 2.0
The hr500k training corpus contains about 500,000 tokens manually annotated on the levels of tokenisation, sentence segmentation, morphosyntactic tagging, lemmatisation and... -
Serbian Twitter training corpus ReLDI-NormTagNER-sr 2.0
ReLDI-NormTagNER-sr 2.0 is a manually annotated corpus of Serbian tweets. It is meant as a gold-standard training and testing dataset for tokenisation, sentence segmentation,...
