![]() ![]() ![]() This process is experimental and the keywords may be updated as the learning algorithm improves.Īlumäe T (2006) Methods for Estonian large vocabulary speech recognition. These keywords were added by machine and not by the authors. The chapter provides a review of both generative and discriminative approaches for Turkish language modeling. Discriminative language models, which outperform generative models for various tasks, allow for easy integration of morphological and syntactic features into language modeling. ![]() For Turkish, the morphological analysis yields word segmentations both at the lexical and surface forms which can be used as sub-lexical language modeling units. These units are either obtained by morphological analysis or by unsupervised statistical techniques. Sub-lexical units are commonly used to reduce the high out-of-vocabulary (OOV) rates of morphologically rich languages. This chapter presents an overview of language modeling followed by a discussion of the challenges in Turkish language modeling. ![]()
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