Estimation of language models for new spoken language applications
Sunil Issar · 2002
Spoken language interfaces can provide natural communication for many database retrieval tasks. The CMU ATIS system provides an example of accessing airline information using spoken natural language queries. However, a lot of training data is needed to develop a spoken language application. For example, we need training data to generate a language model that can be used by the recognizer to reduce the search space. In this paper, we will address some issues arising from small amount of training data available for a new spoken language application.