RGCL Research v3

Syntactic complexity sign tagger demo released

The successfully completed FIRST project has developed various components which help users to analyse the complexity of texts and rewrite texts in order to make them more accessible for readers with Autistic Spectrum Disorder (ASD). These components were integrated in the OpenBook tool, but they cannot be used in isolation. In an attempt to make some of this technology available for other researchers, we started a process of releasing some of the components individually. The first component to be released as a web demo is the syntactic
complexity sign tagger. This is a tool that assigns words and punctuation marks from a predefined set to categories indicating their syntactic linking and bounding functions. Some of these categories are used by our sentence rewriting algorithm. Continue reading

smart-city

Welcome to the Black Country Smart City Network

University of Wolverhampton has joined forces with The Black Country Local Enterprise Partnership and many other key stakeholders to establish the Black Country Smart City Network. The Network will be supported by the Black Country Local Enterprise Partnership and University of Wolverhampton who will undertake the organisation of meetings and providing a venue. Continue reading

20160509_174522

The EXPERT project comes to an end

EXPERT (EXPloiting Empirical appRoaches to Translation) was a Marie Curie FP7 Initial Training Network project with the aim of training young researchers, namely Early Stage Researchers (ESRs) and Experienced Researchers (ERs), to promote the research, development and use of hybrid language translation technologies. Continue reading