This is a workflow that is designed especially for use in the UIMA-based U-Compare workbench (see separate META-SHARE record). The workflow is in "ucz" format (specific to U-Compare) and can be imported via the "Import Workflow" item in the "Workflows" menu of the U-Compare interface. It include...
The part of speech tagger for Maltese is based on TnT, the statistical part of speech tagger by Thorsten Brants (http://www.coli.uni-saarland.de/~thorsten/tnt/). It was modified for the Maltese Language Resource Server (MLRS) by Albert Gatt (Linguistics Department, University of Malta). The mode...
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...
Web service created by exporting UIMA-based workflow from the U-Compare text mining system. Functionality: Identifies NP chunks in plain text. Also carries out sentence splitting, tokenisation and POS tagging Tools in workflow: MLRS Sentence Splitter (University of Malta), UAIC-POSTagger, UAIC-...
Web service created by exporting UIMA-based workflow from the U-Compare text mining system. Functionality: Identifies biological named entities and disambiguates them according to species, by assigning a species ID from the NCBI taxonomy. Also identifies sentences and tokens. Tools in workflow...
Web service created by exporting UIMA-based workflow from the U-Compare text mining system. Functionality: Identifies biomedical named entities (genes and proteins) in plain text. Also identifies sentences. Tools in workflow: Cafetiere Sentence Splitter (University of Manchester), NEMine (Univ...
Web service created by exporting UIMA-based workflow from the U-Compare text mining system. Functionality: Identifies clauses/segments in plain text. Also identifies sentences, tokens, POS tags and lemmas. Tools in workflow: Cafetiere Sentence Splitter (University of Manchester), TTL Tokenizer...