Rich Morphology Based N-Gram Language Models For Arabic

INTERSPEECH 2008: 9TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2008, ..., pp.829-832, (2008)

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Abstract

In this paper we investigate the use of rich morphology such as word segmentation, part-of-speech tagging and diacritic restoration to improve Arabic language modeling. We enrich the context by performing morphological analysis on the word history. We use neural network models to integrate this additional information, due to their ability...More

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