This resource includes a spoken corpus with approximately 300.000 words, covering both formal (152.755 words) and informal (165.838 words) speech, with aligned sound and orthographic transcription and POS-tag information.
Part-of-speech tagger tuned to biomedical text, provided as a web service.
Web service created by exporting UIMA-based workflow from the U-Compare text mining system. Functionality: Performs discourse parsing on plain text. Also identifies sentences, tokens, parts of speech, lemmas, clauses and coreference chains Tools in workflow: UAIC-POSTagger, UAIC-NPChunker, UAI...
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...
The LT Corpus (Literary Corpus) contains approximately 1,781,083 running words of European and Brazilian Portuguese. It includes 70 copyright-free classics (61 Portugal and 9 from Brazil) published before 1940.
The Spoken Corpus Mozambique contains approximately 121,958 running words of spoken Portuguese from Mozambique. It includes 40 transcriptions of spoken recordings (in a total of 40 hours of recordings) that were recorded between 1986 and 1987.
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...
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...
We present SETimes.HR ― the first linguistically annotated corpus of Croatian that is freely available for all purposes. The corpus is built on top of the SETimes parallel corpus of nine Southeast European languages and English. It is manually annotated for lemmas, morphosyntactic tags, named ent...
This tool assigns a part-of-speech tag and base form to each token in a text. It operates on text that has previously been tokenised and morphologically analysed. The POS tagger is a module of Apertium machine translation system. The provided tool can currently operate on a subset of the language...