EMOTAIX.PT (Costa, 2012) is a database of 3,983 emotional words (nouns, verbs, adjectives and adverbs) in European Portuguese based on the original EMOTAIX in French (Piolat & Bannour, 2009). Each word is classified into three hierarchical levels: Supra Category, Super Category and Basic Category...
RudriCo-POS is a part-of-speech disambiguation tool that performs 188 morphological disambiguation rules.
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
Web service created by exporting UIMA-based workflow from the U-Compare text mining system. Functionality: Identifies sentences and tokens in plain text. Tools in workflow: Freeling sentence splitter web service (service provided by the PANACEA project), LX-Tokenizer (web service provided by th...
The CINTIL-NamedEntities corpus, built upon the CINTIL International Corpus of Portuguese (Barreto et al., 2006), is composed of 30,493 sentences of written Portuguese with named entities manually disambiguated and annotated with links to appropriate pages in the Portuguese Dbpedia (Lehmann et al...
RudriCo-TOK is a tokenizer tool that splits contractions. De-contraction rules: 178.
CINTIL-UDep is a dependency bank of Portuguese with 38,400 sentences (and nearly 476,000 tokens), that is treebanked with Universal Dependencies (UD). This version of CINTIL-UDep supersedes the one included in the v2.11 (2022-11-15) release of the Universal Dependencies (https://universaldepende...
Dicionário de Gentílicos e Topónimos is a list of pairs of toponyms and demonyms. The toponyms and demonyms included have a morphologically compositional relation between each other. The list contains around 1500 such pairs and additionally provides information on the toponym referent (upper unit...
News articles collected from Portuguese newspapers.
The News corpus developed by LIACC in JSON format was complemented with POS and keyword topics annotation. POS-tagging =========== The POS-tagging used the tagger described in Généreux et al. (2012) The title and text body were extracted, tokenized and pos-tagged. Two new fields were added...