Towards the Automatic Generation of Arabic Lexical Recognition Tests

الموضوعات

علوم تطبيقية وتكنولوجية

الملخص

measure language proficiency of some common languages such as German, English and Spanish. However, similar researches for Arabic language are at development stages, and existing proposals mainly use human-generated methods. In this thesis work, we suggested a new methodology, based on a newly developed algorithm that aimed to design and construct an Arabic LRT. The developed algorithm generates nonwords dynamically based on Arabic language special characteristics. The main four characteristics that this developed algorithm considers are: orthography (spelling), phonology(pronunciation), n-grams and the word frequency map, which is an important factor to create a multi-level test. The developed algorithm differs from previous approaches in the sense that the previous approaches used Markov models to create . With the help of a large processed dataset of vocabularies (14,000,849), the developed algorithm was experimented. For this purpose, a Web-based application, following the suggested methodology, was designed and implemented to facilitate the process of setting up the LRT, and to manage and analyze learners’ responses. The experimental results have shown that the LRT questions that were by the proposed system had confused the learners, this is clear from the output of the confusion matrix which showed that1/3 of the generated were able to distract the learners. Each vocabulary item had (49) responses; responses for real words (48% correct answers, 52% in-correct answers). For the responses about 30% incorrect answers; this means the system was able to confuse the learner by selecting them as real words, and 70% correct answers; this means that the responses did not confuse the learner.Consequentially, the results of recall and precision have smaller values.

روابط وملفات

التعريف والنوع

رقم الوثيقة

0fdcb1eb-5c1e-4209-8e62-df2cd3e66611

رقم العقد

0

نوع الوسائط

Crawler

نوع المحتوى

الرسائل العلمية

صيغة المصدر

رسائل ماجيستير

نوع الملف

pdf text

أسماء الملفات

2364720_1.pdf

بيانات النشر

ترجمة العنوان

نهج التوليد التلقائي لإختبارت التعرف اللغوي في اللغة العربية

ألقاب المؤلفين

[{"name_ar":"Mohammad Khalil Ahmad Nassar","title_ar":"اعداد","title_en":"Preparation"},{"name_ar":"رياض زغال","title_ar":"اشراف","title_en":"Supervision"},{"name_ar":"سعيد صالح","title_ar":"اشراف","title_en":"Supervision"}]

اللغة

English

المصدر والدورية

اسم المصدر

Towards the Automatic Generation of Arabic Lexical Recognition Tests

المحتوى والصفحات

عدد الصفحات

0

كلمات الباحثين

the Automatic Generation, Arabic Lexical, Recognition Tests.

إشراف وإعداد

الإشراف

رياض زغال, سعيد صالح

الإعداد

Mohammad Khalil Ahmad Nassar

الاقتباسات الببليوغرافية