Evaluation of spoken language grammar learning in the ATIS domain

To facilitate the development of speech enabled applications and services, researchers have been working on a variety of smart tools. Recently we have introduced a schema-based context free grammar learning algorithm aiming at the development of real applications. In that paper we have described the algorithm and given some experimental results on the data of our in-house project. To study the general applicability of the algorithm as well as to provide the research community with more informative results, we have applied the algorithm to the well studied ATIS task and compared the performance of the learned grammar with one of the best performers in ATIS evaluations. The results show that the semi-automatically learned grammar achieves comparable performance to the manually authored grammar.