This tool translates text from a source language into a target language. It operates on text that has previously been tokenised and morphologically analysed, and POS-tagged. Target language tokens are assigned POS tags and morphological analyses. The Apertium Translator is a module of Apertium ma...

This tool performs tokenization of text and assigns all possible morphological analyses to each token. These analyses include the base form of the token, part-of-speech, information about number and gender. The morphological analyser is a module of Apertium machine translation system. The provide...

This tool assigns a part-of-speech tag and base form to each token in a text. It operates on text that has previously been tokenised and morphologically analysed. The POS tagger is a module of Apertium machine translation system. The provided tool can currently operate on a subset of the language...

TinySVM is an implementation of Support Vector Machines (SVMs) (Vapnik, 1995; Vapnik, 1998) for the problem of pattern recognition.

The OntoLP system is a plug-in for the construction environment of the ontologies Protégé. The plug-in intents to be an assistant for the engineer of ontologies for Portuguese during the execution of initial steps concerning the ontologies construction: extraction of terms which are candidates fo...

FORMA is a probabilistic tool for morphological tagging and lemmatization of text. The purpose of this tool is to obtain annotated text to be processed by other NLP tools (see Gonzalez et al., 2006).

YamCha is a generic, customizable, and open source text chunker oriented toward a lot of NLP tasks, such as POS tagging, Named Entity Recognition, base NP chunking, and Text Chunking. We used it for NP chunking.

The present tool, that was built to deal with Portuguese-specific issues concerning syntactic categorization, assigns a single morpho-syntactic tag, from the tagset below, to every token. The tag is attached to the token, using a / (slash) symbol as separator: um exemplo → um/IA exemplo/CN ...

MaltParser is a system for data-driven dependency parsing, which can be used to induce a parsing model from treebank data and to parse new data using an induced model. MaltParser is developed by Johan Hall, Jens Nilsson and Joakim Nivre at Växjö University and Uppsala University, Sweden (see Nivr...

ACOPOST is a free and open source collection of four part-of-speech taggers (t3, met, tbt, and et). In corpus linguistics, part-of-speech tagging (POS tagging or POST), also called grammatical tagging or word-category disambiguation, is the process of marking up the words in a text (corpus) as co...