Morphology-based language modeling for conversational Arabic speech recognition

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• 作者：Katrin Kirchhoff ; Dimitra Vergyri ; Jeff Bilmes ; Kevin Duh and Andreas Stolcke
• 刊名：Computer Speech & Language
• 出版年：2006
• 出版时间：October 2006
• 年：2006
• 卷：20
• 期：4
• 页码：589-608
• 全文大小：235 K

文摘

Language modeling for large-vocabulary conversational Arabic speech recognition is faced with the problem of the complex morphology of Arabic, which increases the perplexity and out-of-vocabulary rate. This problem is compounded by the enormous dialectal variability and differences between spoken and written language. In this paper, we investigate improvements in Arabic language modeling by developing various morphology-based language models. We present four different approaches to morphology-based language modeling, including a novel technique called factored language models. Experimental results are presented for both rescoring and first-pass recognition experiments.