Arquivo Dialetal CLUP - ORTH is a speech corpus approximately with 40 000 tokens (Utterances; spontaneous speech, mainly from Northern Portugal). Orthographic and phonetic transcription.

The Dataset of Nuanced Assertions on Controversial Issues (NAoCI) dataset consists of over 2,000 assertions on sixteen different controversial issues. It has over 100,000 judgments of whether people agree or disagree with the assertions, and of about 70,000 judgments indicating how strongly peopl...

The CRPC Discourse Bank is labeled for discourse relations (also referred to as rhetorical relations or coher- ence relations), such as cause and condition, that hold between two spans of text and contribute to ensure the overall cohesion and coherence of the text. The scheme follows the principl...

CORDIAL-SIN is a corpus of spoken dialectal European Portuguese developed at Centro de Linguística da Universidade de Lisboa (CLUL). The materials for this corpus were drawn from the recordings of dialect speech collected by the CLUL ATLAS team as fieldwork interviews for linguistic atlases betwe...

PS Corpus (Post-Scriptum)-PT is a corpus of 2215 informal mail letters written in Portuguese during the Modern Ages (from the XVIth century to the beginning of the XIXth century). Each letter is available as a semi-palaeographic transcription, a modernized transcription, and with part-of-speec...

The BioLexicon is a large-scale, wide-coverage computational lexicon covering the biomedical domain. A large part of the lexicon is concerned with covering biomedical terms and their variants. Entries for domain-specific verbs include syntactic and semantic information. The lexicon includes entri...

A corpus of opinion articles annotated with arguments, following a claim-premise model.

The CINTIL-DependencyBank (Branco et al., 2011a) is a corpus of grammatical dependencies 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) (see 3.2.). In additi...