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.
DVPM-EtyMor is a lexical database. Etymological, morphological and textual exemplification. Around 3000 verbs. Language: Medieval portuguese.
The DeepBankPT (Branco et. al. 2010) is a corpus of semantic dependencies of translated texts composed of 3,406 sentences and 44,598 tokens taken from the Wall Street Journal. The DeepBankPT is composed of MRS and AVM representations, derivation tree, and syntactic tree with grammatical and se...
DVPM-SynSem is a lexical database with syntactic and semantic information in Medieval Portuguese. It contains around 3000 verbs.
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...
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.
Hesita-POS is an annotaded corpus. Tv News.
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...
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.
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