We present a new language model adaptation framework integrated with error handling method to improve accuracy of speech recognition and performance of spoken language applications. The proposed error corrective language model adaptation approach exploits domain-specific language variations and recognition environment characteristics to provide robustness and adaptability for a spoken language ...

We present a new language model adaptation framework integrated with an error handling method to improve accuracy of speech recognition and performance of spoken language applications. The proposed error corrective language model (ECLM) adaptation approach exploits recognition environment characteristics and domain-specific semantic information to provide robustness and adaptability for a spoke...

This study investigated the effect of transactional and interactional strategies on developing Iranian intermediate EFL learners’ spoken language performance. First of all, to homogenize the participants, the researcher administered IELTS speaking tests to 50 participants as the pre-test in order to select the main sample of the study which were 30 students. That is, those participants whose sc...

In this paper, we compare the performance of a state-of-the-art statistical parser (Bikel, 2004) in parsing written and spoken language and in generating subcategorization cues from written and spoken language. Although Bikel’s parser achieves a higher accuracy for parsing written language, it achieves a higher accuracy when extracting subcategorization cues from spoken language. Our experiment...

In this introductory chapter to Part G of this Handbook on spoken language recognition, we provide a brief overview of the principles of state-ofthe-art language recognition approaches, and a general discriminative training framework to improve the performance and robustness of language recognition systems. It is followed by three chapters. The first of these addresses issues related to spoken ...