67 research outputs found

    NUVA: A Naming Utterance Verifier for Aphasia Treatment

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    Anomia (word-finding difficulties) is the hallmark of aphasia, an acquired language disorder most commonly caused by stroke. Assessment of speech performance using picture naming tasks is a key method for both diagnosis and monitoring of responses to treatment interventions by people with aphasia (PWA). Currently, this assessment is conducted manually by speech and language therapists (SLT). Surprisingly, despite advancements in automatic speech recognition (ASR) and artificial intelligence with technologies like deep learning, research on developing automated systems for this task has been scarce. Here we present NUVA, an utterance verification system incorporating a deep learning element that classifies 'correct' versus' incorrect' naming attempts from aphasic stroke patients. When tested on eight native British-English speaking PWA the system's performance accuracy ranged between 83.6% to 93.6%, with a 10-fold cross-validation mean of 89.5%. This performance was not only significantly better than a baseline created for this study using one of the leading commercially available ASRs (Google speech-to-text service) but also comparable in some instances with two independent SLT ratings for the same dataset

    Middle English Medical Recipes and Literary Play, 1375-1500

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    This volume is the first detailed, book-length study of Middle English medical recipes in their literary, imaginative, social, and codicological contexts. Analysing recipe collections in over seventy late medieval manuscripts, this book explores how the words and structures of recipes could contribute to those texts’ healing purpose, but could also confuse, impede, exceed, and redefine that purpose. The study therefore presents a challenge to recipes’ traditional reputation as mundane, unartful texts written and read solely for the sake of directing practical action. Crucially, it also relocates these neglected texts and overlooked manuscripts within the complex networks forming medieval textual culture, demonstrating that—though marginalized in modern scholarship—medical recipes were actually linguistically, formally, materially, and imaginatively interconnected with many other late medieval discourses, including devotional writings, romances, fabliaux, and Chaucerian poetry. The monograph thus models for readers modes of analysis and close reading that might be deployed in relation to recipes in order to understand better their allusive, fragmentary, and playful qualities as well as their wide-ranging influence on medieval imaginations
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