In tests of her ability to produce written and spoken language, this deep dyslexic patient produced semantic, visual, and derivational errors, including functor substitutions, and exhibited part-of-speech and abstractness effects in oral reading, oral and written naming, and writing to dictation, but not in repetition of single words and copying from memory. This patient therefore provides conf...

This paper reports a case study of a Chinese-speaking dysgraphic patient, NMY. Among his written errors in written naming and writing-to-dictation were phonologically plausible errors. Since his semantic processing of content words were hypothesized to be largely intact, as evidenced by normal performance on non-verbal semantic tests and word-picture matching, the occurrence of such errors prov...

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Correspondence author: Mostafa Najafi, MD, Assistant Professor of Child & Adolescent Psychiatry, Psychiatry ward, Haajar Hospital, Shahrekord, Iran Email:Najafimostafa @ gmail.com Tel: + 98-21-5541 2222 Fax: + 98-21-5541 9113 Objective: The aim of the current study was to assess the impact of computer games and computer-assisted type instruction on dictation scores of elementary school children...

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This paper reports on an exploratory study in which a group of second year secondary school pupils with reading ages ranging from 8.3 to 12.9 performed a set of tasks using the IBM VoiceType dictation package in order to determine the benefits of voice dictation for classroom use. The results showed that pupils with varying reading ages could dictate at comparable speeds and often with similar ...

We consider the task of analyzing children handwriting in context a dictation task. The objective is to detect orthographic and phonological errors. To achieve this goal, we extend an existing analysis engine, based on explicit segmentation handwritten input, originally developed for copying exercises. present new approach, combination engine with deep learning word recognition approach order i...

Automatic speech recognition (ASR) has become a valuable tool in large document production environments like medical dictation. While manual post-processing is still needed for correcting speech recognition errors and for creating documents which adhere to various stylistic and formatting conventions, a large part of the document production process is carried out by the ASR system. For improvin...

In this paper, we study the incorporation of statistical machine translation models to automatic speech recognition models in the framework of computer-assisted translation. The system is given a source language text to be translated and it shows the source text to the human translator to translate it orally. The system captures the user speech which is the dictation of the target language sent...