عنوان
پدید آورنده
موضوع
رده
کتابخانه
محل استقرار
شماره کتابشناسی ملی
شماره
TLpq2462894890
زبان اثر
زبان متن نوشتاري يا گفتاري و مانند آن
انگلیسی
عنوان و نام پديدآور
عنوان اصلي
Analysing and Correcting Dyslexic Arabic Texts
نام عام مواد
[Thesis]
نام نخستين پديدآور
Alamri, Maha
نام ساير پديدآوران
Teahan, William J.
وضعیت نشر و پخش و غیره
نام ناشر، پخش کننده و غيره
Bangor University (United Kingdom)
تاریخ نشرو بخش و غیره
2019
مشخصات ظاهری
نام خاص و کميت اثر
188
یادداشتهای مربوط به پایان نامه ها
جزئيات پايان نامه و نوع درجه آن
Ph.D.
کسي که مدرک را اعطا کرده
Bangor University (United Kingdom)
امتياز متن
2019
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
Dyslexia is a disorder that involves difficult with literacy skills and language related skills. It is related to the inability of a person to master the utilisation of written language and affects a significant number of people. This thesis describes the development of the Bangor Dyslexia Arabic Corpus (BDAC) in order to facilitate the analysis and automatic correction of dyslexic Arabic text. This thesis has also developed a new classification of errors made in Arabic by people with dyslexia which was used in the annotation of the BDAC. The dyslexic error classification scheme for Arabic texts (DECA) comprises a list of dyslexia spelling errors classified into 37 types, and grouped into nine categories. This thesis also investigates a new type of classification-dyslexia text classification-that identifies whether or not a text has been written by a person with dyslexia. The text compression scheme known as prediction by partial matching (PPM) has been applied to the problem of distinguishing dyslexic text from non-dyslexic text. Experimental results show that the F1 score for PPM-classification was 0.99 and outperformed other classifiers such as Multinomial Naïve Bayes and Support Vector Machiness. A new system called Sahah is also proposed for the automatic detection and correction of dyslexia errors in Arabic text. The system uses a language model based on the PPM text compression scheme in addition to edit operations (omission, addition, substitution and transposition). The correct alternative for each error word is chosen on the basis of the compression codelength. Two experiments were carried out to evaluate the usefulness of the Sahah system. Firstly, its accuracy was evaluated using the BDAC containing errors made by people with dyslexia. Secondly, the results of Sahah were compared with the results obtained when using word processing software and the Farasa tool. The results show that the Sahah system significantly outperforms Microsoft Word, Ayaspell and the Farasa tool with an F1 score of 0.83 for detection and an F1 score of 0.58 for correction.
موضوع (اسم عام یاعبارت اسمی عام)
موضوع مستند نشده
Disability studies
موضوع مستند نشده
Information science
موضوع مستند نشده
Linguistics
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )
مستند نام اشخاص تاييد نشده
Alamri, Maha
مستند نام اشخاص تاييد نشده
Teahan, William J.
دسترسی و محل الکترونیکی
نام الکترونيکي
مطالعه متن کتاب وضعیت انتشار
فرمت انتشار
p
اطلاعات رکورد کتابشناسی
نوع ماده
[Thesis]
کد کاربرگه
276903
اطلاعات دسترسی رکورد
سطح دسترسي
a
تكميل شده
Y
