Search for dissertations about: "Word recognition"
Showing result 1 - 5 of 38 swedish dissertations containing the words Word recognition.
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1. Machine-Printed and Handwritten Ethiopic Script Recognition
Abstract : A written language is represented by using machine-printed or handwritten symbols called characters. For automatic recognition of written languages, handwritten script can be captured offline (by a scanner) and online (by electronic digital devices), whereas machine-printed text is captured offline. READ MORE
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2. Reading Development and Reading Disability : Analyses of eye-movements and word recognition
Abstract : The primary ambition of this doctoral thesis is to provide an empirical basis for a better understanding of reading disability among school children. The current consensus in the research community is that most disabled readers fail in the acquisition of fast, accurate and automatic word recognition. READ MORE
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3. Word Learning in the Developing Brain : ERP Dynamics of Learning Word-Object Associations
Abstract : This dissertation investigated electrophysiological measures of individual differences in toddlers’ ability to learn novel object labels and process familiar object words and their referents. The studies measured both visual and auditory event-related potentials (ERPs) in response to pictures of objects and words in a longitudinal sample of 20- to 24-month-olds, an age of dynamic vocabulary development. READ MORE
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4. Word Vector Representations using Shallow Neural Networks
Abstract : This work highlights some important factors for consideration when developing word vector representations and data-driven conversational systems. The neural network methods for creating word embeddings have gained more prominence than their older, count-based counterparts. READ MORE
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5. Document Image Processing for Handwritten Text Recognition : Deep Learning-based Transliteration of Astrid Lindgren’s Stenographic Manuscripts
Abstract : Document image processing and handwritten text recognition have been applied to a variety of materials, scripts, and languages, both modern and historic. They are crucial building blocks in the on-going digitisation efforts of archives, where they aid in preserving archival materials and foster knowledge sharing. READ MORE