Dear Students,
Just a short note to inform you that Dr. Auhood 's projet is no longer available, and has been replaced by Dr. Maha's project. Kindly, take this minor change in your choices form submission.
Project 8 new description is the following:
Title: Automatic Generation of Exercises for Language Aptitude Tests
Area /Domain: Arabic Natural Langauge Processing, Information Extraction, Machine Learning
Description
The aim of the project is to build an intelligent system for the automatic generation of exercises for enhancing the lexical competence of language learners. The system automatically extracts semantic relations between words, and uses them in the generation of vocabulary exercises in aptitude tests.
The development of the system involves two phases, training phase and testing phase. In the training phase, the system uses Arabic text corpora annotatedwith semantic relations to learn rules and patterns for identifying semantically related words in the text. In the testing phase, the trained model will be used with new non-annotated text to identify words and the semanticrelations which holds between the words. The data is used for the automated generation of the competency exercises.
G.P Coordinator
Just a short note to inform you that Dr. Auhood 's projet is no longer available, and has been replaced by Dr. Maha's project. Kindly, take this minor change in your choices form submission.
Project 8 new description is the following:
Title: Automatic Generation of Exercises for Language Aptitude Tests
Area /Domain: Arabic Natural Langauge Processing, Information Extraction, Machine Learning
Description
The aim of the project is to build an intelligent system for the automatic generation of exercises for enhancing the lexical competence of language learners. The system automatically extracts semantic relations between words, and uses them in the generation of vocabulary exercises in aptitude tests.
The development of the system involves two phases, training phase and testing phase. In the training phase, the system uses Arabic text corpora annotatedwith semantic relations to learn rules and patterns for identifying semantically related words in the text. In the testing phase, the trained model will be used with new non-annotated text to identify words and the semanticrelations which holds between the words. The data is used for the automated generation of the competency exercises.
G.P Coordinator
