Abstract
This paper presents a system for automatically generating linguistic questions based on a feature table. Such questions are an essential input for tree-based state tying, a technique which is widely used in speech recognition. In general, in order to utilize this technique, linguistic (or more accurately phonetic) questions have to be carefully defined. This may be extremely time consuming and require a considerable amount of resources. The system proposed in this paper provides a more elegant and efficient way to generate a set of questions from a simple feature table of the type employed in phonetic studies.
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Kanokphara, S., Carson-Berndsen, J. (2005). Feature-Table-Based Automatic Question Generation for Tree-Based State Tying: A Practical Implementation. In: Ali, M., Esposito, F. (eds) Innovations in Applied Artificial Intelligence. IEA/AIE 2005. Lecture Notes in Computer Science(), vol 3533. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11504894_15
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DOI: https://doi.org/10.1007/11504894_15
Publisher Name: Springer, Berlin, Heidelberg
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