CINTIL-TreeBank

The CINTIL-TreeBank (Branco et al., 2011) is a corpus of syntactic constituency trees of Portuguese texts composed of 10,039 sentences and 110,166 tokens taken from different sources and domains: news (8,861 sentences; 101,430 tokens), novels (399 sentences; 3,082 tokens). In addition, there are ...

Resource Type:Corpus
Media Type:Text
Language:Portuguese
COVID-19 ANTIBIOTIC dataset. Multilingual (CEF languages)

Multilingual (CEF languages) corpus acquired from the website https://antibiotic.ecdc.europa.eu/ . It contains 20981 TUs (in total) for EN-X language pairs, where X is a CEF language.

Resource Type:Corpus
Media Type:Text
Languages:Bokmål, Norwegian; Norwegian Bokmål
Bulgarian
Croatian
Czech
Danish
Dutch; Flemish
English
Estonian
Finnish
French
German
Greek, Modern (1453-)
Hungarian
Icelandic
Irish
Italian
Latvian
Lithuanian
Maltese
Moldavian; Moldovan
Polish
Portuguese
Romanian
Slovak
Slovenian
Spanish; Castilian
Swedish
COVID-19 EU presscorner v2 dataset. Multilingual (CEF languages)

Multilingual (CEF languages) corpus acquired from website (https://ec.europa.eu/commission/presscorner/) of the EU portal (8th July 2020). It contains 23 TMX files (EN-X, where X is a CEF language) with 151895 TUs in total.

Resource Type:Corpus
Media Type:Text
Languages:Bulgarian
Croatian
Czech
Danish
Dutch; Flemish
English
Estonian
Finnish
French
German
Greek, Modern (1453-)
Hungarian
Irish
Italian
Latvian
Lithuanian
Maltese
Moldavian; Moldovan
Polish
Portuguese
Romanian
Slovak
Slovenian
Spanish; Castilian
Swedish
CINTIL-Corpus Internacional do Português

CINTIL-Corpus Internacional do Português is a linguistically interpreted corpus of Portuguese. At present it is composed of 1 Million annotated tokens, verified by human expert annotators. The annotation comprises information on part-of-speech, open classes lemma and inflection, multi-word expres...

Resource Type:Corpus
Media Type:Text
Language:Portuguese
TreeBankPT

The TreeBankPT (Branco et al., 2011) is a corpus of syntactic constituency trees of the translated news composed of 3,406 sentences and 44,598 tokens taken from the Wall Street Journal. For the creation of this TreeBank we adopted a semi-automatic analysis with a double-blind annotation followed...

Resource Type:Corpus
Media Type:Text
Language:Portuguese
CINTIL-LogicalFormBank

The CINTIL-LogicalFormBank (Branco, 2009, and Branco et al., 2011) is a corpus of semantic dependencies of sentences from Portuguese texts composed of 10,039 sentences and 110,166 tokens taken from different sources and domains: news (8,861 sentences; 101,430 tokens), novels (399 sentences; 3,082...

Resource Type:Corpus
Media Type:Text
Language:Portuguese
CINTIL-PropBank

The CINTIL-PropBank (Branco et al., 2012) is a corpus of sentences annotated with their constituency structure and semantic role tags, composed of 10,039 sentences and 110,166 tokens taken from different sources and domains: news (8,861 sentences; 101,430 tokens), and novels (399 sentences; 3,082...

Resource Type:Corpus
Media Type:Text
Language:Portuguese
LX-4WAnalogies

The test set described in was used as the basis for the assessment of word embeddings. An example entry in this data set would read: ‘Berlin Germany Lisbon Portugal’. With these four words relations – as in this example – one can test semantic analogies by using any of the possible combinations o...

Resource Type:Corpus
Media Type:Text
Language:Portuguese
LX-ESSLLI 2008

The LX-ESSLLI 2008 data set was created from the ESSLLI 2008 Distributional Semantic Workshop shared-task set, made of 44 concrete nouns grouped in 6 semantic categories (4 animate and 2 inanimate). The grouping is done in an hierarchical way following the top 10 properties from the McRae (2005) ...

Resource Type:Corpus
Media Type:Text
Language:Portuguese
LX-Battig

The LX-Battig was created from Battig test.set (Baroni et al., 2010). This data set has 83 concrete concepts of the following 10 categories: mammals, birds, fish, vegetables, fruit, trees, vehicles, clothes, tools and kitchenware. The categories names and the concepts were translated by two trans...

Resource Type:Corpus
Media Type:Text
Language:Portuguese

Order by:

Filter by: