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corpus
Description:
The hr500k training corpus contains about 500,000 tokens manually annotated on the levels of tokenisation, sentence segmentation, morphosyntactic tagging, lemmatisation and named entities. About half of the corpus is also ...
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corpus
Description:
A collection of sentences demonstrating and correcting comma usage.
The sentences come from five sources:
- KUST: a Slovene learner corpus, http://nl.ijs.si/isjt06/proc/26_Stritar.pdf
- Šolar: a corpus of student writing, ...
This item contains 2 files (3.8
MB).
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lexicalConceptualResource
Description:
This is an automatically created Slovene thesaurus from Slovene data available in a comprehensive English–Slovenian dictionary, a monolingual dictionary, and a corpus. A network analysis on the bilingual dictionary word ...
This item contains 1 file (5.42
MB).
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lexicalConceptualResource
Description:
This is an automatically created Slovene thesaurus from Slovene data available in a comprehensive English–Slovenian dictionary, a monolingual dictionary, and a corpus. A network analysis on the bilingual dictionary word ...
This item contains 1 file (5.42
MB).
Publicly Available
lexicalConceptualResource
Description:
A lexicon of 751 emoji characters with automatically assigned sentiment.
The sentiment is computed from 70,000 tweets, labeled by 83 human annotators
in 13 European languages.
The process and analysis of emoji sentiment ...
This item contains 3 files (93.95
KB).
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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).
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