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), ...
Web service created by exporting UIMA-based workflow from the U-Compare text mining system. Functionality: Identifies and categorises syntactic chunks in plain text Tools in workflow: Freeling shallow parser web service (service provided by the PANACEA project) NOTE: The licence provided cove...
Web service created by exporting UIMA-based workflow from the U-Compare text mining system. Functionality: Identifies paragraphs in plain text Tools in workflow: MLRS Paragraph Splitter (University of Malta) NOTE: The licence provided covers the web service only. Tools used to create the workf...
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...
Web service created by exporting UIMA-based workflow from the U-Compare text mining system. Functionality: Identifies sentences and tokens in plain text. Parts of speech and lemmas are assigned to tokens. Language is automatically identified amongst the supported languages and language-specific ...
The corpus was developed as a linguistic resource for Automatic Summarization research and his relation with different issues to engage studies on the discourse treatment. Summ-it consists of fifty texts from Science domain extracted from Science section of Brazilian daily newspaper Folha de Sã...
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...
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The TreeBankPT (Branco et al., 2011) is a corpus of syntactic constituency trees of the translated news composed of 3,406 sentences and 44,598 tokens taken from the Wall Street Journal. For the creation of this TreeBank we adopted a semi-automatic analysis with a double-blind annotation followed...
This dataset has been created within the framework of the European Language Resource Coordination (ELRC) Connecting Europe Facility - Automated Translation (CEF.AT) action. For further information on the project: http://lr-coordination.eu. Parallel Global Voices EN-PL is a parallel corpus genera...