Based on the MXPOST part of speech tagger and UNITEX dictionaries for Portuguese, this tool produces the lemmas of the words of a text stored in a plain text file. The source code is also provided.

LX-Stopwords resource is a manual list of words from Portuguese composed by 2631 words of 51 types. The words are grouped in three big classes, arranged according to their morpho-syntactic category and inflectional feature value (closed classes, open classes, and multi-word units). This list was ...

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.

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

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...

A collection of language resources for the evaluation of distributional semantic models of Portuguese: LX-SimLex-999: http://metashare.metanet4u.eu/go2/lx-simlex-999 LX-Rare Word Similarity Data set: http://metashare.metanet4u.eu/go2/lx-rare-word-similarity-dataset LX-WordSim-353: h...

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

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

The test set described in was used as the basis for the assessment of word embeddings. An example entry in this data set would read: ‘Berlin Germany Lisbon Portugal’. With these four words relations – as in this example – one can test semantic analogies by using any of the possible combinations o...

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 ...