Search

Additional file 4. Examples of validity pattern analysis.

Additional file 3. Criteria used to classify validity patterns.

Additional file 2. The diagram of analysis method.

Additional file 3. Criteria used to classify validity patterns.

Additional file 2. The diagram of analysis method.

Additional file 1. The Structure of the Korean DRG classification and Refinement steps of ADRG based on secondary diagnosis.

A new tightly coupled speech and natural language integration model is presented for a TDNN-based large vocabulary continuous speech recognition system. Unlike the popular n-best techniques developed for integrating mainly HMM-based speech and natural language systems in word level, which is obviously inadequate for the morphologically complex agglutinative languages, our model constructs a spoken language system based on the phoneme-level integration. The TDNN-CYK spoken language architecture is designed and implemented using the TDNN-based diphone recognition module integrated with the table-driven phonological/morphological co-analysis. Our integration model provides a seamless integration of speech and natural language for connectionist speech recognition systems especially for morphologically complex languages such as Korean. Our experiment results show that the speaker-dependent continuous Eojeol (word) recognition can be integrated with the morphological analysis with over 80\% morphological analysis success rate directly from the speech input for the middle-level vocabularies., Comment: 12 pages, Latex Postscript, compressed, uuencoded, will be presented in TWLT-8