The present tool, that was built to deal with specific issues concerning orthographic conventions adopted for Portuguese, marks sentence boundaries with <s>…</s>, and paragraph boundaries with <p>…</p>. Unwraps sentences split over different lines. A f-score of 99.94% was obtained when testing o...

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.

The SIMPLE Portuguese Lexicon is constituted by 10,438 entries semantically encoded, accordingly to the parole common encoding standards.

LexMan-ChunkerTokenizer is a tokenizer and sentence splitter tool. Marks sentence boundaries, multi-word boundaries. Size: Lemmas verbs: 12 995; Lemmas nouns and adj: 38 180; Lemmas adverbs: 7 250; Compound words: 35 201. Language: Portuguese.

The PTPARL Corpus contains approximately 975,806 running words of European Portuguese. It includes 1076 texts consisting of adapted transcriptions of the Portuguese parliament sessions, which were made available in 2004.

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...

MARv-DISAMB is a part-of-speech disambiguation tool (probabilistic disambiguation module).

LX-Tagger is a freely available online service for the part-of-speech tagging of Portuguese. It was developed and is mantained by the NLX-Natural Language and Speech Group at the University of Lisbon, Department of Informatics. The service is composed by a set of shallow processing tools: A se...

The NPChunks training corpus contains approximately 1,000 sentences, in a total of 24,243 tokens, selected randomly from the written part of the CINTIL corpus (Barreto et al, 2006). The CINTIL corpus is a linguistically interpreted corpus of Portuguese composed of 1 Million annotated tokens from ...

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...