LX-DSemVectors is distributional lexical semantics model, also known as word embeddings, for Portuguese (Rodrigues et al., 2016). This version, 2.2b, was trained on a corpus of 2 billion tokens and achieved state-of-the-art results on multiple lexical semantic tasks (Rodrigues & Branco, 2018). ...

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...

Porlex (Gomes & Castro, 2003) is a lexical database that includes written and phonetic transcription of standard adult vocabulary - 44 psycholinguistic characteristics (e.g. orthographic, phonological, phonetic, part-of-speech, and neighborhood characteristics). For each word it contains psychol...

Port-AoA Words (Cameirão & Vicente, 2010) is a lexical database containing 7 psycholinguistic characteristics (e.g. neighborhood density, written-word frequency, familiarity, imageability, etc). Standard adult vocabulary.

DVPM-EtyMor is a lexical database. Etymological, morphological and textual exemplification. Around 3000 verbs. Language: Medieval portuguese.

DVPM-SynSem is a lexical database with syntactic and semantic information in Medieval Portuguese. It contains around 3000 verbs.

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

The LX-WordSim-353 was created from WordSim-353 (Agirre et al., 2009). As the name suggests, this data set contains 353 pairs of words. Both words in each pair can have different morphosyntactic categories. The data set is made of nouns, adjectives, verbs and named entities, and has no multiwords...

The LX-SimLex-999 was created from SimLex-999 (Hill et al., 2015) which, in turn, was based in the University of South Florida Free Association Database (USF) (Nelson et al., 2014). There were strict guidelines to create SimLex-999. Both words in each pair have the same morphosyntactic category ...

The LX-Rare Word Similarity Data set was created from Stanford Rare Word (RW) Similarity data set (Luong et al., 2013). This list contains 2 034 words (1 017 pairs of words). All the words were extracted from Wikipedia and from WordNet (Miller, 1995), a lexical database where the concepts are gro...