introduction: dictation as an important academic ability involves divers cortical processes so that any problem in one of them may lead to a dictation error. identifying current dictation errors helps specialists to understand its causes more comprehensively and to use the most effective interventional approaches. the aim of this study was to compare the most common dictation errors between pri...

In this study we focused on the spelling of high-functioning students with dyslexia. We made a detailed classification of the errors in a word and sentence dictation task made by 100 students with dyslexia and 100 matched control students. All participants were in the first year of their bachelor's studies and had Dutch as mother tongue. Three main error categories were distinguished: phonologi...

With the purpose of examining the sources of spelling errors of Iranian school level EFL learners, the present researchers analyzed the dictation samples of 51 Iranian senior and junior high school male and female students majoring at an Iranian school in Baku, Azerbaijan. The content analysis of the data revealed three main sources (intralingual, interlingual, and unique) with seven patterns o...

Spelling errors are usually studied in dictations, but teachers report that children with school difficulties often make spelling mistakes when they copy a text too. The present study examines the performance on a text copying task and a text dictation task of two groups of children known for their difficulties in spelling, that is, 22 with symptoms of ADHD and 13 with dyslexia, comparing them ...

Speech recognition affords automobile drivers a hands-free, eyes-free method of replying to Short Message Service (SMS) text messages. Although a voice search approach based on template matching has been shown to be more robust to the challenging acoustic environment of automobiles than using dictation, users may have difficulties verifying whether SMS response templates match their intended me...

Mobile phones, with their increasing processing power and memory, are enabling a diversity of tasks. The traditional text entry method using keypad is falling short in numerous ways. Some solutions to this problem include: QWERTY keypads on phone, external keypads, virtual keypads on table tops (Seimens at CeBIT ‘05) and last but not the least, automatic speech recognition (ASR) technology. Spe...

The aim of this study was to examine the handwriting legibility and writing errors first grade primary school students who were learning early literacy through distance education during pandemic period, according various variables. research designed survey method, group consisted 211 studying in school. “Multidimensional Legibility Scale”, “Writing Errors Form”, “Dictation Text” “Copying used a...

Recognition errors hinder the proliferation of speech recognition (SR) systems. Based on the observation that recognition errors may result in ungrammatical sentences, especially in dictation application where an acceptable level of accuracy of generated documents is indispensable, we propose to incorporate two kinds of linguistic features into error detection: lexical features of words, and sy...

Automatic diagnosis of recognition errors in large vocabulary continuous speech recognition (LVCSR) systems is addressed. It consists of two steps. The first step is to identify the module that causes recognition errors for every erroneous segment. This statistics points out which modules to be revised. The second step is to analyze the causes of the errors in detail. Specifically, the triphone...

When dictating with speech recognition, most of the user’s time is spent correcting errors. To decrease the burden we propose new editor functions specifically to speed up the correction process. The idea is to use a recognition confidence measure to predict which words are likely to be in error, to display that information to the user by highlighting suspect words, and to provide a command to ...