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Synergies between transcription and lexical database building: The case of Ge...
Building a lemmatised corpus of German Sign Language (DGS) using iLex, a relational database and annotation tool; consistent token-type matching (lemmatisation) and quality... -
How Much Top-Down and Bottom-Up do We Need to Build a Lemmatized Corpus?
Building a lemmatised corpus of German Sign Language (DGS) using iLex; lemmatisation as top-down and lexicon building as bottom-up process; lemma revision -
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 Written Standard Slovene Gigafida 2.0
Gigafida 2.0, with about 1.1 billion words, is a reference corpus of written Slovene text published in the period 1990-2018. It is comprised of daily news, magazines, a... -
Spoken Torlak dialect corpus 1.0 (transcription)
Torlak corpus represents a spoken variety of the endangered Torlak dialect from the Timok area in Southeast Serbia. It comprises transcripts of interviews with the local... -
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... -
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,... -
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... -
CMC training corpus Janes-Tag 1.2
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 web corpus srWaC 1.1
The Serbian web corpus srWaC was built by crawling the .rs top-level domain in 2014. The corpus was near-deduplicated on paragraph level, normalised via diacritic restoration,... -
Digital library and corpus of historical Slovene IMP 1.1
The IMP digital library contains historical Slovene books and other publications, together 658 texts with over 45,000 pages from the period 1584-1919. Each text contains... -
Reference corpus of historical Slovene goo300k 1.2
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 CLASSLA-Stanza model for lemmatisation of standard Bulgarian 2.1
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... -
The CLASSLA-Stanza model for lemmatisation of standard Macedonian 2.1
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...
