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).
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...
RudriCo-TOK is a tokenizer tool that splits contractions. De-contraction rules: 178.
TinySVM is an implementation of Support Vector Machines (SVMs) (Vapnik, 1995; Vapnik, 1998) for the problem of pattern recognition.
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...
RudriCo-POS is a part-of-speech disambiguation tool that performs 188 morphological disambiguation rules.
MARv-DISAMB is a part-of-speech disambiguation tool (probabilistic disambiguation module).
The Computational Linguistics Toolset is a set of tools for computational linguistics. It contains re-usable code for cleaning, splitting, refining, and taking samples from corpora (ICE, Penn, and a native one), for tagging them using the TnT-tagger, for doing permutation statistics on N-grams (u...
The purpose of the tool is to detect sentence boundaries in English text. The tool is provided as a UIMA component, specifically as Java archive (jar) file, which can be incorporated within any UIMA workflow. However, it is particularly designed use in the U-Compare text mining platform (see sepa...
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...