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...
The MLSS (Maltese Language Software Services) Chunker is an online tool which looks for sequences of part-of-speech tags in a tagged text, using one or more patterns that capture the typical members of, say, a noun phrase, and returning a list of chunks from the text that match the searched patte...
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...
MARv-DISAMB is a part-of-speech disambiguation tool (probabilistic disambiguation module).
MARv-POS is a part-of-speech tagger tool (probabilistic POS annotation module). MARv4's architecture comprehends two submodules: a set of linguistically-oriented disambiguation rules module and a probabilistic disambiguation module. The linguistic-oriented is no longer used in the STRING chain be...
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...
LX-UTagger is a POS tagger for Portuguese that adopts the Universal Part-of-Speech tagset (UPOS), related to the Universal Dependency framework, with an initial performance of 99.06% under a ten-fold cross validation scheme. It is described in this article: António Branco, João Ricardo Silv...
LX-USuite is a tool for shallow processing of Portuguese that adopts the Universal Part-of-Speech (UPOS) tagset and Universal feature bundles, related to the Universal Dependency framework, with an initial performance of 99.06% for POS tagging, 98.75% for featurizer model, and 99.08% for the lemm...
LX-UDParser is a UD parser for Portuguese, which adopts the Universal Dependency framework, with an initial performance of 90.87 for UAS and 88.01 for LAS under a ten-fold cross validation scheme. It is described in this article: António Branco, João Ricardo Silva, Luís Gomes and João Rodri...
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...