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...

The lexicon of discourse markers for European Portuguese contains 252 pairs of discourse marker/rhetorical sense. The lexicon covers conjunctions, prepositions, adverbs, adverbial phrases and alternative lexicalizations with a connective function, as in the PDTB (Prasad et al., 2008; Prasad et al...

Grafone-LEX is a lexical database for conversion from graphemes to phonemes

The resource consists of a Portuguese frequency lexicon based on a 16 million words corpus of written and spoken texts from different genres. The lexicon contains 26.443 entries (lemma) and 140

PicName (see Castro et al., 1997, 1999; Gomes et al., 2006; Neves et al., 1995) is a picture-naming task that can be used to collect spontaneous speech samples and to measure articulation abilities in Portuguese-speaking children. It is an updated version of the Sounds-in-Words task included in t...

The Ontology for the area of Nanoscience and Nanotechnology (Ontologia para a área de Nanociência e Nanotecnologia) is constituted by 511 terms of this field of knowledge. It was extracted from a corpus collected from the Web, with a total of 2.570.792 words

The SIMPLE Portuguese Lexicon is constituted by 10,438 entries semantically encoded, accordingly to the parole common encoding standards.

MARv-POS is a part-of-speech tagger tool (probabilistic POS annotation module). MARv4's architecture comprehends two submodules: a set of linguistically-oriented disambiguation rules module and a probabilistic disambiguation module. The linguistic-oriented is no longer used in the STRING chain be...

Technical Description: http://qtleap.eu/wp-content/uploads/2015/05/Pilot1_technical_description.pdf http://qtleap.eu/wp-content/uploads/2015/05/TechnicalDescriptionPilot2_D2.7.pdf http://qtleap.eu/wp-content/uploads/2016/11/TechnicalDescriptionPilot3_D2.10.pdf

LexMan-ChunkerTokenizer is a tokenizer and sentence splitter tool. Marks sentence boundaries, multi-word boundaries. Size: Lemmas verbs: 12 995; Lemmas nouns and adj: 38 180; Lemmas adverbs: 7 250; Compound words: 35 201. Language: Portuguese.