Developing ARET: An NLP-based Educational Tool Set for Arabic Reading Enhancement.
NAACL HLT '12: Proceedings of the Seventh Workshop on Building Educational Applications Using NLP(2012)
摘要
This paper describes a novel Arabic Reading Enhancement Tool (ARET) for classroom use, which has been built using corpus-based Natural Language Processing in combination with expert linguistic annotation. The NLP techniques include a widely used morphological analyzer for Modern Standard Arabic to provide word-level grammatical details, and a relational database index of corpus texts to provide word concordances. ARET also makes use of a commercial Arabic text-to-speech (TTS) system to add a speech layer (with male and female voices) to the Al-Kitaab language textbook resources. The system generates test questions and distractors, offering teachers and students an interesting computer-aided language learning tool. We describe the background and the motivation behind the building of ARET, presenting the various components and the method used to build the tools.
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关键词
Modern Standard Arabic,commercial Arabic text-to-speech,novel Arabic,Al-Kitaab language textbook resource,classroom use,interesting computer-aided language,Enhancement Tool,NLP technique,corpus text,corpus-based Natural Language Processing,Arabic reading enhancement,NLP-based educational tool
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