• Assessing Conformance of Manually Simplified Corpora with User Requirements: the Case of Autistic Readers

      Stajner, Sanja.; Dornescu, Iustin; Evans, Richard (Association for Computational Linguistics and Dublin City University, 2014)
      In the state of the art, there are scarce resources available to support development and evaluation of automatic text simplification (TS) systems for specific target populations. These comprise parallel corpora consisting of texts in their original form and in a form that is more accessible for different categories of target reader, including neurotypical second language learners and young readers. In this paper, we investigate the potential to exploit resources developed for such readers to support the development of a text simplification system for use by people with autistic spectrum disorders (ASD). We analysed four corpora in terms of nineteen linguistic features which pose obstacles to reading comprehension for people with ASD. The results indicate that the Britannica TS parallel corpus (aimed at young readers) and the Weekly Reader TS parallel corpus (aimed at second language learners) may be suitable for training a TS system to assist people with ASD. Two sets of classification experiments intended to discriminate between original and simplified texts according to the nineteen features lent further support for those findings.
    • BLURRING THE LINES: AN INTEGRATED COMPOSITIONAL MODEL FOR DIGITAL MUSICAL INSTRUMENT DESIGN

      Dalgleish, Mathew,; Spencer, Steve,; Foster, Chris. (Proceedings of the 9th Conference on Interdisciplinary Musicology. CIM14. Berlin, Germany, 2014)
    • Designing a Highly Expressive Algorithmic Music Composition System for Non-Programmers

      Bellingham, Matt; Holland, Simon; Mulholland, Paul (2016)
      Algorithmic composition systems allow for the partial or total automation of music composition by formal, computational means. Typical algorithmic composition systems generate nondeterministic music, meaning that multiple musical outcomes can result from the same algorithm - consequently the output is generally different each time the algorithm runs
    • Linguistic Landscape as a tool for the analysis of linguistic situation and language policies in post-Soviet space

      Moore, Irina (MAPRYAL - International Association of Russian Language Teachers, 2015)
    • POSTRUM: DEVELOPING GOOD POSTURE IN TRUMPET PLAYERS THROUGH DIRECTION HAPTIC FEEDBACK

      Spencer, Steven (Proceedings of the 9th Conference on Interdisciplinary Musicology., 2016)