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Training corpus SUK 1.0
The SUK training corpus contains about 1 million tokens manually annotated on the levels of tokenisation, sentence segmentation, morphosyntactic tagging, and lemmatisation, with... -
CMC training corpus Janes-Norm 3.0
Janes-Norm is a manually annotated corpus of Slovene Computer-Mediated Communication (CMC) consisting of about 20,000 short texts (280,000 words), mostly tweets but also blogs,... -
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,... -
Corpus of term-annotated texts RSDO5 1.1
The RSDO5 corpus was compiled in order to serve as a training set for automatic term identification. It consists of 12 texts with 250,000 words and almost 38,000 manually... -
Training corpus ssj500k 2.3
The ssj500k training corpus contains about 500,000 tokens manually annotated on the levels of tokenisation, sentence segmentation, morphosyntactic tagging, and lemmatisation.... -
Croatian Twitter training corpus ReLDI-NormTagNER-hr 2.1
ReLDI-NormTagNER-hr 2.1 is a manually annotated corpus of Croatian tweets. It is meant as a gold-standard training and testing dataset for tokenisation, sentence segmentation,... -
Serbian Twitter training corpus ReLDI-NormTagNER-sr 2.1
ReLDI-NormTagNER-sr 2.1 is a manually annotated corpus of Serbian tweets. It is meant as a gold-standard training and testing dataset for tokenisation, sentence segmentation,... -
CMC training corpus Janes-Tag 2.1
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... -
Training corpus jos1M 1.2
The jos1M corpus contains 1 million words of sampled paragraphs from the Gigafida corpus. It is meant to serve as a training corpus for word-level tagging of Slovene. This... -
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 SETimes.SR 1.0
The SETimes.SR training corpus contains 86 726 tokens manually annotated on the levels of tokenisation, sentence segmentation, morphosyntactic tagging, lemmatisation, syntactic... -
Training corpus hr500k 1.0
The hr500k training corpus contains about 500,000 tokens manually annotated on the levels of tokenisation, sentence segmentation, morphosyntactic tagging, lemmatisation and... -
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.... -
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,... -
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,... -
Tweet code-switching corpus Janes-Preklop 1.0
Janes-Preklop is a corpus of Slovene tweets that is manually annotated for code-switching (the use of words from two or more languages within one sentence or utterance),... -
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... -
Croatian Twitter training corpus ReLDI-NormTag-hr 1.1
ReLDI-NormTag-hr 1.1 is a manually annotated corpus of Croatian tweets. It is meant as a gold-standard training and testing dataset for tokenisation, sentence segmentation, word... -
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... -
Tweet comma corpus Janes-Vejica 1.0
Janes-Vejica is a corpus of Slovene tweets where commas are annotated with the reason for their (in)correct use, according to the supplied typology. The corpus was sampled from...
