A morphological generator for the indexing of Arabic audio
Document Type
Conference Proceeding
Source of Publication
Proceedings of the 9th IASTED International Conference on Artificial Intelligence and Soft Computing, ASC 2005
Publication Date
12-1-2005
Abstract
This paper presents a novel Arabic morphological generator (AMG) for Modern Standard Arabic (MSA) which is designed and implemented using Prolog. The AMG is used to generate inflected forms of words used for the indexing of Arabic audio. These words are also the relevant terms in the Arab authority system (library information retrieval system) used in this study. The AMG generates inflected Arabic words from the root according to pre-specified morphological features that can be extended as needed. The Arabic word is represented as a feature structure which is handled through unification during the morphological generation process. The inflected forms can then be inserted automatically into a speech recognition grammar which is used to identify these words in an audio sequence or utterance.
ISBN
0889865361
First Page
307
Last Page
312
Disciplines
Computer Sciences
Keywords
Arabic Morphological Generation and Arabic Audio Indexing
Scopus ID
Recommended Citation
Shaalan, Khaled F.; Talhami, Habib E.; and Kamel, Ibrahim H., "A morphological generator for the indexing of Arabic audio" (2005). All Works. 167.
https://zuscholars.zu.ac.ae/works/167
Indexed in Scopus
yes
Open Access
no