A computational lexicon for Portuguese that provides mappings between verbs and their nominalizations.
MARv-DISAMB is a part-of-speech disambiguation tool (probabilistic disambiguation module).
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. Forbruker Europa is the Norwegian office of the European...
Despite many recent papers on Arabic Named Entity Recognition (NER) in the news domain, little work has been done on microblog NER. NER on microblogs presents many complications such as informality of language, shortened named entities, brevity of expressions, and inconsistent capitalization (for...
LX-Tagger is a freely available online service for the part-of-speech tagging of Portuguese. It was developed and is mantained by the NLX-Natural Language and Speech Group at the University of Lisbon, Department of Informatics. The service is composed by a set of shallow processing tools: A se...
142,397 Maltese texts from 10 genres. The file “corpus.zip” expands into a folder “corpus”, containing the file “tagged.zip”, which expands into the folder “cwb.final”. This folder contains the files: • filelist.txt • malti02.academic.txt • malti02.law.txt • malti02.literature.txt • malti...
Freely available large dataset, manually annotated for German NER. Includes nested span annotations. Source text from German Wikipedia and news. This data set does not contain the test data, which is used for the GermEval 2014 NER task at KONVENS. Test data will be available from September 2014.
The MLSS (Maltese Language Software Services) Chunker is an online tool which looks for sequences of part-of-speech tags in a tagged text, using one or more patterns that capture the typical members of, say, a noun phrase, and returning a list of chunks from the text that match the searched patte...
An Arabic twitter data set of 7,503 tweets. The released data contains manual Sentiment Analysis annotations as well as automatically extracted features, saved in Comma Separated (CSV) and Attribute-Relation File Format (ARFF) file formats. Due to twitter privacy restrictions we replaced the orig...
Automatically generated corpus of 98,818 graph/string pairs.