COVID-19 EUROPARL v2 dataset. Bilingual (EN-PT)

Bilingual (EN-PT) corpus acquired from the website (https://www.europarl.europa.eu/) of the European Parliament (9th May 2020)

Resource Type:Corpus
Media Type:Text
Languages:English
Portuguese
COVID-19 Parallel Global Voices dataset. Bilingual (EN-PT)

EN-PT Bilingual COVID-19-related corpus acquired from the website (https://globalvoices.org/) of GlobalVoices (28th April 2020)

Resource Type:Corpus
Media Type:Text
Languages:English
Portuguese
COVID-19 ANTIBIOTIC dataset. Bilingual (EN-PT)

Bilingual (EN-PT) corpus acquired from the website https://antibiotic.ecdc.europa.eu/

Resource Type:Corpus
Media Type:Text
Languages:English
Portuguese
COVID-19 EC-EUROPA v1 dataset. Multilingual (CEF languages)

Multilingual (CEF languages) corpus acquired from website (https://ec.europa.eu/*coronavirus-response) of the EU portal (20th May 2020). It contains 23 TMX files (EN-X, where X is a CEF language) with 53311 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
LX-AP

LX-AP was created from the translation of Almuhareb-Poesio (ap) benchmark (Almuhareb and Poesio, 2005). The original data set was created considering three aspects: POS, frequency and ambiguity. It contains 402 names from 21 categories of WordNet, with 13 to 21 names from each one of those categ...

Resource Type:Corpus
Media Type:Text
Language:Portuguese
Archivo dos Açores, dir. Ernesto do Canto, 1.ª série, Ponta Delgada, Vol. 1-12

A publicação Arquivo dos Açores, consagrada como obra de referência para a investigação histórica sobre o arquipélago dos Açores, conta com duas séries, num total de 20 volumes. A primeira série do Arquivo dos Açores, composta por 15 volumes, decorreu entre 1878 e 1959, com grandes interrupções r...

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

CINTIL-USuite is a corpus of Portuguese that is annotated with lemmas, the Universal Part-of-Speech tagset (UPOS) and Universal feature bundles, related to the Universal Dependency framework, and that contains around 1 million annotated tokens. It is described in this article: António Branc...

Resource Type:Corpus
Media Type:Text
Language:Portuguese
Multilingual corpora with coreferential annotation of person entities

Multilingual corpora with coreferential annotation of person entities ===================================================================== In-progress corpora with coreferent annotation of person entities. Sources: journals and Wikipedia. Languages: * Portuguese: varieties from Portugal, Brazi...

Resource Type:Corpus
Media Type:Text
Languages:Galician
Portuguese
Spanish; Castilian
Parallel corpora finely aligned (subsentencial granularity)

Text corpus for bilingual concordancing, single- and multi-word translation extraction, machine translation. Languages: cs-pt, de-pt, en-pt, es-pt, fr-pt, it-pt, and pt-sk. Size: 1 G per language (phrases aligned). Domain: Law and Health.

Resource Type:Corpus
Media Type:Text
Languages:Czech
English
French
German
Italian
Portuguese
Slovak
Spanish; Castilian
CorPop: a corpus of popular Brazilian Portuguese

This research proposes a corpus of popular Brazilian Portuguese, called CorPop, with texts selected based on the average level of literacy of the country's readers. CorPop’s theoretical and methodological bases are interdisciplinary and fall within the scope of Language Studies and related discip...

Resource Type:Corpus
Media Type:Text
Language:Portuguese

Order by:

Filter by:

Portuguese (193)
English (50)
German (20)
French (19)
Czech (17)
Italian (17)
Basque (14)
Bulgarian (14)
Slovak (8)
Polish (7)
Danish (6)
Finnish (6)
Irish (6)
Latvian (6)
Maltese (6)
Swedish (6)
Catalan (3)
Chinese (3)
Spanish (3)
Arabic (2)
Latin (2)
Bosnian (1)
Hindi (1)
Russian (1)
Serbian (1)
Swahili (1)
Thai (1)
Turkish (1)
Urdu (1)