Enju is a syntactic parser for English. The grammar used by the parser is based on Head Driven Phrase Structure Grammar (HPSG). Enju can analyse syntactic/semantic structures of English sentences can output phrase structure and predicate-argument structures.
Part-of-speech tagger tuned to biomedical text, provided as a web service.
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).
LexMan-POSTagger is a morphological analyser tool that morphologically tags all words. Size: Lemmas verbs: 12 995; Lemmas nouns and adj: 38 180; Lemmas adverbs: 7 250; Compound words: 35 201. Language: Portuguese.
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.
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...
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.
RudriCo-TOK is a tokenizer tool that splits contractions. De-contraction rules: 178.
CSTParser is a multi-document discourse parser. Based on machine learning techniques and hand-crafted rules, the system identifies a set of relations predicted by CST (Cross-document Structure Theory) among sentences of different texts on the same topic.
GistSumm (GIST SUMMarizer) is a summarization tool for Portuguese. It uses the gist as a guideline to identify and select text segments to include in the final extract. Automatically produced extracts have been evaluated under the light of gist preservation and textuality.