The text of the novel Sania (eng. The Sledge) served as a training corpus. It was written in 1955 by Ion Druță and printed originally in Cyrillic scripts. We have followed a special previously developed technology of recognition and specialized lexicons. In such a way, we have obtained the electr...
This package contains the collection of tweets described in the LREC 2018 paper: "Collecting Code-Switched Data from Social Media", Gideon Mendels, Victor Soto, Aaron Jaech and Julia Hirschberg, LREC 2018. Please remember to cite this paper if you use this resource. The tagged_tweets_ids file con...
This package contains data sets for development and testing of machine translation of medical search short queries between Czech, English, French, and German. The queries come from the general public and from medical experts.
This research proposes a corpus of popular Brazilian Portuguese, called CorPop, with texts selected based on the average level of literacy of the country's readers. CorPop’s theoretical and methodological bases are interdisciplinary and fall within the scope of Language Studies and related discip...
The Dataset of Nuanced Assertions on Controversial Issues (NAoCI) dataset consists of over 2,000 assertions on sixteen different controversial issues. It has over 100,000 judgments of whether people agree or disagree with the assertions, and of about 70,000 judgments indicating how strongly peopl...
Dundee GCG-Bank contains hand-corrected deep syntactic annotations for the Dundee eye-tracking corpus (Kennedy et al., 2003). The annotations are designed to support psycholinguistic investigation into the structural determinants of sentence processing effort. Dundee GCG-Bank is distributed as a ...
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...
Datasets is arff format (for Weka machine learning software) are made available to reproduce the validation experiments presented in the paper.
Technical Description: http://qtleap.eu/wp-content/uploads/2015/05/Pilot1_technical_description.pdf http://qtleap.eu/wp-content/uploads/2015/05/TechnicalDescriptionPilot2_D2.7.pdf http://qtleap.eu/wp-content/uploads/2016/11/TechnicalDescriptionPilot3_D2.10.pdf
The LX-SimLex-999 was created from SimLex-999 (Hill et al., 2015) which, in turn, was based in the University of South Florida Free Association Database (USF) (Nelson et al., 2014). There were strict guidelines to create SimLex-999. Both words in each pair have the same morphosyntactic category ...