CINTIL DependencyBank PREMIUM is a corpus of Portuguese utterances manually annotated with the representation of grammatical dependency relations and the information of part-of-speech, inflection and lemmas. It is being developed and maintained at the University of Lisbon. The current version is ...
The CINTIL-LogicalFormBank (Branco, 2009, and Branco et al., 2011) is a corpus of semantic dependencies of sentences from Portuguese texts composed of 10,039 sentences and 110,166 tokens taken from different sources and domains: news (8,861 sentences; 101,430 tokens), novels (399 sentences; 3,082...
The CINTIL-PropBank (Branco et al., 2012) is a corpus of sentences annotated with their constituency structure and semantic role tags, composed of 10,039 sentences and 110,166 tokens taken from different sources and domains: news (8,861 sentences; 101,430 tokens), and novels (399 sentences; 3,082...
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.
The GENIA tagger analyzes English sentences and outputs the base forms, part-of-speech tags, chunk tags, and named entity tags. The tagger is specifically tuned for biomedical text such as MEDLINE abstracts.
The LogicalFormBankPT (Branco, 2009, and Branco et al., 2011) is a corpus of semantic dependencies of translated texts composed of 3,406 sentences and 44,598 tokens taken from the Wall Street Journal. The LogicalFormBankPT is composed of MRS representations of each sentence’s semantic relation...
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...
The PropBankPT (Branco et al., 2012) is a set of sentences annotated with their constituency structure and semantic role tags, composed of 3,406 sentences and 44,598 tokens taken from the Wall Street Journal translated. For the creation of this PropBank we adopted a semi-automatic analysis with...
Treat is a toolkit for natural language processing and computational linguistics in Ruby. The Treat project aims to build a language- and algorithm- agnostic NLP framework for Ruby with support for tasks such as document retrieval, text chunking, segmentation and tokenization, natural language pa...
Web service created by exporting UIMA-based workflow from the U-Compare text mining system. Functionality: Carries out syntactic parsing on plain text Tools in workflow: Cafetiere Sentence Splitter (University of Manchester), OpenNLP Tokenizer (Apache), STEPP Tagger (University of Manchester), ...