Context-sensitive Spelling Correction Using Google Web 1T 5-Gram Information

In computing, spell checking is the process of detecting and sometimes providing spelling suggestions for incorrectly spelled words in a text. Basically, a spell checker is a computer program that uses a dictionary of words to perform spell checking. The bigger the dictionary is, the higher is the error detection rate. The fact that spell checkers are based on regular dictionaries, they suffer from data sparseness problem as they cannot capture large vocabulary of words including proper names, domain-specific terms, technical jargons, special acronyms, and terminologies. As a result, they exhibit low error detection rate and often fail to catch major errors in the text. This paper proposes a new context-sensitive spelling correction method for detecting and correcting non-word and real-word errors in digital text documents. The approach hinges around data statistics from Google Web 1T 5-gram data set which consists of a big volume of n-gram word sequences, extracted from the World Wide Web. Fundamentally, the proposed method comprises an error detector that detects misspellings, a candidate spellings generator based on a character 2-gram model that generates correction suggestions, and an error corrector that performs contextual error correction. Experiments conducted on a set of text documents from different domains and containing misspellings, showed an outstanding spelling error correction rate and a drastic reduction of both non-word and real-word errors. In a further study, the proposed algorithm is to be parallelized so as to lower the computational cost of the error detection and correction processes.Comment: LACSC - Lebanese Association for Computational Sciences - http://www.lacsc.or

The correlation between reading and mathematics ability at age twelve has a substantial genetic component

Dissecting how genetic and environmental influences impact on learning is helpful for maximizing numeracy and literacy. Here we show, using twin and genome-wide analysis, that there is a substantial genetic component to children’s ability in reading and mathematics, and estimate that around one half of the observed correlation in these traits is due to shared genetic effects (so-called Generalist Genes). Thus, our results highlight the potential role of the learning environment in contributing to differences in a child’s cognitive abilities at age twelve

Assessing the word recognition skills of german elementary students in silent reading - Psychometric properties of an item pool to generate curriculum-based measurements

Given the high proportion of struggling readers in school and the long-term negative consequences of underachievement for those affected, the question of prevention options arises. The early identification of central indicators for reading literacy is a noteworthy starting point. In this context, curriculum-based measurements have established themselves as reliable and valid instruments for monitoring the progress of learning processes. This article is dedicated to the assessment of word recognition in silent reading as an indicator of adequate reading fluency. The process of developing an item pool is described, from which instruments for learning process diagnostics can be derived. A sample of 4268 students from grades 1–4 processed a subset of items. Each student template included anchor items, which all students processed. Using Item Response Theory, item statistics were estimated for the entire sample and all items. After eliminating unsuitable items (N = 206), a one-dimensional, homogeneous pool of items remained. In addition, there are high correlations with another established reading test. This provides the first evidence that the recording of word recognition skills for silent reading can be seen as an economic indicator for reading skills. Although the item pool forms an important basis for the extraction of curriculum-based measurements, further investigations to assess the diagnostic suitability (e.g., the measurement invariance over different test times) are still pending

Dyslexia and password usage:accessibility in authentication design

Governments and businesses are moving online with alacrity, driven by potential cost savings, changing consumer and citizen expectations, and the momentum towards general digital provision. Services are legally required to be inclusive and accessible. Now consider that almost every online service, where people have to identify themselves, requires a password. Passwords seem to be accessible, until one considers specific disabilities, one of which can lead to many challenges: dyslexia being a case in point. Dyslexia is associated with word processing and retention difficulties, and passwords are essentially words, phrases or alphanumeric combinations. We report on a literature review conducted to identify extant research into the impact of dyslexia on password usage, as well as any ameliorations that have been proposed. We discovered a relatively neglected field. We conclude with recommendations for future research into the needs of a large population of dyslexics who seem to struggle with passwords, in a world where avoiding passwords has become almost impossible. The main contribution of this paper is to highlight the difficulties dyslexics face with passwords, and to suggest some avenues for future research in this area

Implementing Value-Added Models of School Assessment

This paper considers value-added models of school assessment and their implementation in Poland. Value-added estimates can be very helpful for schools and policy makers who need a reliable way to control teaching effectiveness, or for parents who need information about school quality in their area. However, their usefulness depends on several statistical issues and specific decisions made during implementation. The paper discusses several value-added models and describes details of the solution implemented in Poland. Statistical problems are discussed according to their policy relevance. It is shown that what bothers statisticians is less important in practice than several problems encountered when one wants to apply these models to a policy relevant context. Problems of proper regression specification, omitted variables bias, and measurement error are discussed, but the ways value-added estimates could be published and used as policy evaluation tools are also presented. All this problems are discussed from a practical point of view using three years of experience in implementation of these methods in Poland.education, school assessment, school effectiveness, value-added models

Proceedings of the Salford Postgraduate Annual Research Conference (SPARC) 2011

These proceedings bring together a selection of papers from the 2011 Salford Postgraduate Annual Research Conference(SPARC). It includes papers from PhD students in the arts and social sciences, business, computing, science and engineering, education, environment, built environment and health sciences. Contributions from Salford researchers are published here alongside papers from students at the Universities of Anglia Ruskin, Birmingham City, Chester,De Montfort, Exeter, Leeds, Liverpool, Liverpool John Moores and Manchester

Dyslexia and mobility-related social exclusion: The role of travel information provision

Transport is increasingly recognised as having a significant impact upon quality of life for people with disabilities. The ability to access opportunities, services, social networks and other goods is highly dependent upon the ability to access private and/or public transport. However, there are many barriers to transport access for people with disabilities. This paper considers access to the transport system for those with a specific learning disability, namely, dyslexia. The paper reports results from a series of focus groups, which highlight the problems accessing and using travel information for this group. The contribution of inaccessible information to mobility-related social exclusion is highlighted. It is argued that there is a need for accessible information as a component of strategies to tackle mobility-related social exclusion. In this context, the paper presents a number of recommendations that may facilitate greater ease of use of private and public transport for those with dyslexia, with an emphasis upon actions to create more accessible information systems. Such improvements are likely to benefit those with other learning disabilities, while also improving the usability of information systems for non-disabled travellers. © 2012 Elsevier Ltd

Rapid automatized naming and reading performance: a meta-analysis

Evidence that rapid naming skill is associated with reading ability has become increasingly prevalent in recent years. However, there is considerable variation in the literature concerning the magnitude of this relationship. The objective of the present study was to provide a comprehensive analysis of the evidence on the relationship between rapid automatized naming (RAN) and reading performance. To this end, we conducted a meta-analysis of the correlational relationship between these 2 constructs to (a) determine the overall strength of the RAN-reading association and (b) identify variables that systematically moderate this relationship. A random-effects model analysis of data from 137 studies (857 effect sizes; 28,826 participants) indicated a moderate-to-strong relationship between RAN and reading performance (r = .43, I-2 = 68.40). Further analyses revealed that RAN contributes to the 4 measures of reading (word reading, text reading, non-word reading, and reading comprehension), but higher coefficients emerged in favor of real word reading and text reading. RAN stimulus type and type of reading score were the factors with the greatest moderator effect on the magnitude of the RAN-reading relationship. The consistency of orthography and the subjects' grade level were also found to impact this relationship, although the effect was contingent on reading outcome. It was less evident whether the subjects' reading proficiency played a role in the relationship. Implications for future studies are discussed

Lexiland: A Tablet-based Universal Screener for Reading Difficulties in the School Context

First published online January 27, 2022Massive and timely screening of the student population for early signs of reading difficulties is needed to implement timely effective remediation of these difficulties. However, traditional approaches are costly and hard to apply. Here, we present Lexiland, a tablet-based reading assessment tool for kindergarten and primary school children developed to be applied in school settings with minimal personnel intervention. Following a story line, players help a character of the game perform several tasks that measure different predictors of reading outcomes. Most of the tasks that usually involve a verbal response were switched to receptive tasks to demand a touch-screen response only. The tablet application was administered to a sample of N = 616 5-yo kindergarten children and to a sub-sample of these children twice during the following two years (First and Second Grades). Applying logistic regression and cross-validation, we selected a reduced subset of tasks that can predict with great sensitivity and specificity, whether a five-year-old child will have reading difficulties by the end of first grade (sensitivity 90% and specificity 76%) and two years later (sensitivity 90% and specificity 61%). Importantly, Lexiland is a scalable tool to implement universal screening, given the increasing availability of devices able to run android and iOS applications.The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This project was funded by ANII FSED_2_2015_1_120741 and ANII FSED_2_2016_1_131230 grants to Juan Valle-Lisboa and Manuel Carreiras. Camila Zugarramurdi received a PhD Scholarship from Fundación Carolin