People with Autism Spectrum Disorder (ASD) are known to experience specific reading difficulties, which sometimes makes it challenging for them to cope within school and university, to browse the Web or to comprehend important information such as how to claim disability allowance or other support. These difficulties can sometimes have devastating impact on the lives of people with autism and their families. To address this, we have been working on data collection and research for over four years and have finally developed a tool which can help bringing this information to them in an accessible form. We need an inspired student to help us develop the user interface of this Web application, which will then be made available for the public to use. Continue reading
Carla Parra Escartín will be giving a research talk this Wednesday. All are warmly invited to attend – full details follow below. Continue reading
My name is Victoria Yaneva and I am a final-year PhD student at the Research Institute of Information and Language Processing (RIILP) at the University of Wolverhampton. The aim of my research is to develop technology that helps people with autism to read and comprehend text better. As many autistic people are known to experience specific reading comprehension difficulties, helping them read better would lead to reducing school dropout, enhancing their academic achievements, employability and social inclusion. Continue reading
Speaker: Dr Paul Rayson, Lancaster University
Title: Taxonomies for semantic tagging: how large do they need to be?
Date and time: Tuesday Feb 9th, 2pm
Room: MI301, City Campus
Abstract: In this presentation, I will describe joint research carried out in the recently completed Samuels project (www.gla.ac.uk/samuels/) in which we have applied automatic semantic analysis to two very large corpora around 1-2 billion words each: Continue reading
The details of the shared task on cleaning of translation memories organised at the 2nd Workshop on Natural Language Processing for Translation Memories have been published. We hope it will be a successful task given the amount of traffic the page has received in the first 24h since it was announced.