What's New

 corpus 
corpus
Description:
The ParlaMeter-hr corpus contains minutes of the National Assembly of the Republic of Croatia and currently covers its VIth mandate (2016-11-15 - 2018-11-21). The corpus contains speaker metadata (gender, age, education, ...
 This item contains 2 files (158.95 MB).
 
Publicly Available Distributed under Creative Commons Attribution Required Share Alike
 corpus 
corpus
Description:
The ParlaMeter-sl corpus contains minutes of the National Assembly of the Republic of Slovenia and currently covers its VIIth mandate (2014-08-01 to 2018-06-22). The corpus contains speaker metadata (gender, age, education, ...
 This item contains 2 files (423.98 MB).
 
Publicly Available Distributed under Creative Commons Attribution Required Share Alike
 lexicalConceptualResource 
lexicalConceptualResource
Author(s):
Description:
CLARIN.SI-embed.sr contains word embeddings induced from the srWaC web corpus. The embeddings are based on the skip-gram model of fastText trained on 554,606,544 tokens of running text for (1) 881,150 lowercased surface ...
 This item contains 4 files (3.36 GB).
 
Publicly Available Distributed under Creative Commons Attribution Required

Most Viewed Items

Top Last Week
 corpus 
corpus
Description:
The dataset contains over 1.6 million tweets (tweet IDs), labeled with sentiment by human annotators. There are 15 Twitter corpora for the corresponding 15 European languages. The data can be used to train and evaluate ...
 This item contains 16 files (49.38 MB).
 
Publicly Available Distributed under Creative Commons Attribution Required Share Alike
 lexicalConceptualResource 
lexicalConceptualResource
Description:
srLex is a large inflectional lexicon of Serbian language where each entry consists of a (wordform, lemma, MSD, frequency, per-million frequency) 5-tuple. The (wordform, lemma, MSD) triple frequencies are calculated on the ...
 This item contains 1 file (29.54 MB).
 
Publicly Available
 corpus 
corpus
Description:
The corpus contains over 4.5 million tweets (tweet IDs) automatically labeled by a machine learning program with stance regarding Brexit: Positive (supporting Brexit), Negative (opposing Brexit), or Neutral (uncommitted). The ...
 This item contains 1 file (35.44 MB).
 
Publicly Available Distributed under Creative Commons Attribution Required Share Alike