SENTER is a SENtence splitTER for Portuguese.
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.
Uplug (see Tiedemann, 2003a) is a collection of tools and scripts for processing text-corpora, for automatic alignment and for term extraction from parallel corpora. Several tools have been integrated in Uplug. Pre-processing tools include a sentence splitter, a general tokenizer and wrappers a...
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...
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 ...
TinySVM is an implementation of Support Vector Machines (SVMs) (Vapnik, 1995; Vapnik, 1998) for the problem of pattern recognition.
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...
MBT is a memory-based tagger-generator and tagger in one. The tagger-generator part can generate a sequence tagger on the basis of a training set of tagged sequences; the tagger part can tag new sequences. MBT can, for instance, be used to generate part-of-speech taggers or chunkers for natural l...
The present tool, that was built to deal with Portuguese-specific issues concerning a few non-trivial cases that involve tokenization-ambigous strings, segments text into lexically relevant tokens, using whitespace as the separator. Note that, in these examples, the | (vertical bar) symbol is use...
MSTParser is a non-projective dependency parser (see McDonald et al., 2005a, 2006) that searches for maximum spanning trees over directed graphs. Models of dependency structure are based on large-margin discriminative training methods (see McDonald et al., 2005b). Projective parsing is also suppo...