Comparative study of Arabic and french statistical language models

Karima Meftouh 1 Kamel Smaïli 2 Med Tayeb Laskri 1
2 PAROLE - Analysis, perception and recognition of speech
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : In this paper, we propose a comparative study of statistical language models of Arabic and French. The objective of this study is to understand how to better model both Arabic and French. Several experiments using different smoothing techniques have been carried out. For French, trigram models are most appropriate whatever the smoothing technique used. For Arabic, the n-gram models of higher order smoothed with Witten Bell method are more efficient. Tests are achieved with comparable corpora and vocabularies in terms of size
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Communication dans un congrès
ICAART'09 - International Conference On agents and Artificial Intelligence, Jan 2009, Porto, Portugal. 2009
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https://hal.inria.fr/inria-00352927
Contributeur : Kamel Smaïli <>
Soumis le : mardi 14 novembre 2017 - 12:24:53
Dernière modification le : mardi 14 novembre 2017 - 15:12:19

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Karima Meftouh, Kamel Smaïli, Med Tayeb Laskri. Comparative study of Arabic and french statistical language models. ICAART'09 - International Conference On agents and Artificial Intelligence, Jan 2009, Porto, Portugal. 2009. 〈inria-00352927〉

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