Abstract : In this work we propose to investigate statistical language models for Arabic. Several experiments using different smoothing techniques have been carried out on a small corpus extracted from a daily newspaper. The sparseness data conducts us to investigate other solutions without increasing the size of the corpus. A word segmentation has been operated in order to increase the statistical viability of the corpus. This leads to a better performance in terms of normalized perplexity
https://hal.inria.fr/hal-01639807
Contributeur : Kamel Smaïli
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Soumis le : lundi 20 novembre 2017 - 16:22:24
Dernière modification le : dimanche 8 avril 2018 - 11:48:13
