The LT Corpus (Literary Corpus) contains approximately 1,781,083 running words of European and Brazilian Portuguese. It includes 70 copyright-free classics (61 Portugal and 9 from Brazil) published before 1940.

This lexicon includes multiword expressions (MWE) of European Portuguese extracted from a balanced 50,8M word written corpus – a subcorpus of the Reference Corpus of Contemporary Portuguese (CRPC). This corpus covers different genres, being mainly constituted by journalistic texts (59%), but it a...

CINTIL-DeepBank (Branco et al., 2010) is a corpus of Portuguese texts annotated with deep grammatical information. This document refers to version 1.4 of the corpus, from January 2016, which adds over 15,400 annotated sentences to the previous version from September 2015. The current version i...

The corpus presented here is a collection of several tutorials and scientific papers in the field of Information Technology with 603 annotated definitions from Portuguese. The texts were collected from the Web at the beginning of the 2006 and they are organised in 32 files of three different sub-...

DiZer 2.0 is a web interface for discourse parsing. It is based on DiZer (Pardo and Nunes, 2008), the first discourse parser for Brazilian Portuguese. The system aims at producing the discourse structure of a source text following the Rhetorical Structure Theory – RST (Mann and Thompson, 1987), o...

Geo-Net-PT 02 is a public Geospatial Ontology of Portugal (see Chaves et al., 2007), a computational resource (see Rodrigues et al., 2006 and Rodrigues, 2009) for applications demanding geographic information about Portugal, and contains 701,209 concepts stored in a GKB system, most of them admin...

CSTParser is a multi-document discourse parser. Based on machine learning techniques and hand-crafted rules, the system identifies a set of relations predicted by CST (Cross-document Structure Theory) among sentences of different texts on the same topic.

SENTER is a SENtence splitTER for Portuguese.

LX-Abbreviations resource is a collection of abbreviations of different types from European Portuguese composed by 208 words. Each type of abbreviation is manually divided and annotated with grammatical categories, gender and number, and, finally, with the respective abbreviations.

The HESITA database is a corpus consisting of television daily news collected over a month and was annotated regarding to hesitation events, acoustical environments, speaking styles, speaker characteristics and respiratory events, among other characteristic sounds.