Morpholexical and Discriminative Language Models for Turkish Automatic Speech Recognition

This paper introduces two complementary language modeling approaches for morphologically rich languages aiming to alleviate out-of-vocabulary (OOV) word problem and to exploit morphology as a knowledge source. The first model, morpholexical language model, is a generative n -gram model, where modeli...

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Veröffentlicht in:IEEE transactions on audio, speech, and language processing speech, and language processing, 2012-10, Vol.20 (8), p.2341-2351
Hauptverfasser: Sak, Haşim, Saraclar, Murat, Gungor, Tunga
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Sprache:eng
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