The LT Corpus (Literary Corpus) contains approximately 1,781,083 running words of European and Brazilian Portuguese. It includes 70 copyright-free classics (61 Portugal and 9 from Brazil) published before 1940.
The EUROPARL Corpus (subpart Portuguese-English of the parallel corpora), available at http://www.statmt.org/europarl/, was extracted from the proceedings of the European Parliament (Koehn, 2005). It contains transcriptions of sessions dating back from 1996 to 2011, in a total of approximately 58...
The PAROLE Portuguese Corpus – tagged subset contains 250.000 tokens and is a subset of the PAROLE Portuguese Corpus of 3 million running words of European Portuguese. The corpus was classified and encoded according to the common core parole encoding standard. The tagged subset reproduces appro...
This resource includes a spoken corpus with approximately 300.000 words, covering both formal (152.755 words) and informal (165.838 words) speech, with aligned sound and orthographic transcription and POS-tag information.
The resource constitues of a hierarchically-structured system of data types, which is intended to be suitable for describing the inputs and output annotation types of a wide range of natural language processing applications which operate within the UIMA Framework. It is being developed in conjunc...
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
The resource is constituted by 20 thousand entries morpho-syntactically and syntactically encoded, accordingly to the parole common encoding standards.
LX-Suite is a freely available online service for the shallow processing of Portuguese. It was developed and is maintained by the NLX-Natural Language and Speech Group at the University of Lisbon, Department of Informatics. LX-Suite is composed by a set of shallow processing tools: - LX Sente...
Web service created by exporting UIMA-based workflow from the U-Compare text mining system. Functionality: Identifies sentences and tokens in plain text. Parts of speech and lemmas are assigned to tokens. Language is automatically identified amongst the supported languages and language-specific ...
The GENIA tagger analyzes English sentences and outputs the base forms, part-of-speech tags, chunk tags, and named entity tags. The tagger is specifically tuned for biomedical text such as MEDLINE abstracts.