References

Allen, J. F. (1995). The TRAINS-95 parsing system: A user's manual. Tech. rep. TRAINS TN 95-1, University of Rochester, Computer Science Department.

Allen, J. F., Schubert, L. K., Ferguson, G., Heeman, P., Hwang, C. H., Kato, T., Light, M., Martin, N. G., Miller, B. W., Poesio, M., & Traum, D. R. (1995). The TRAINS project: A case study in building a conversational planning agent. Journal of Experimental and Theoretical AI, 7, 7-48.

Barnden, J. A., & Holyoak, K. J. (Eds.). (1994). Advances in Connectionist and Neural Computation Theory, Vol. 3., Ablex Publishing Corporation.

Buø, F. D. (1996). FeasPar - A Feature Structure Parser Learning to Parse Spontaneous Speech. Ph.D. thesis, University of Karlsruhe, Karlsruhe, FRG.

Buø, F. D., Polzin, T. S., & Waibel, A. (1994). Learning complex output representations in connectionist parsing of spoken language. In Proceedings of the International Conference on Acoustics, Speech and Signal Processing, Vol. 1, pp. 365-368, Adelaide, Australia.

Charniak, E. (1993). Statistical Language Learning. MIT Press, Cambridge, MA.

Dyer, M. G. (1983). In-Depth Understanding: A Computer Model of Integrated Processing for Narrative Comprehension. MIT Press, Cambridge, MA.

Elman, J. L. (1990). Finding structure in time. Cognitive Science, 14(2), 179-211.

Faisal, K. A., & Kwasny, S. C. (1990). Design of a hybrid deterministic parser. In Proceedings of the 13^th International Conference on Computational Linguistics, pp. 11-16, Helsinki, Finnland.

Feldman, J. A. (1993). Structured connectionist models and language learning. Artificial Intelligence Review, 7(5), 301-312.

Geutner, P., Suhm, B., Buø, F.-D., Kemp, T., Mayfield, L., McNair, A. E., Rogina, I., Schultz, T., Sloboda, T., Ward, W., Woszczyna, M., & Waibel, A. (1996). Integrating different learning approaches into a multilingual spoken language translation system. In Wermter, S., Riloff, E., & Scheler, G. (Eds.), Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing, pp. 117-131, Springer, Heidelberg.

Gupta, P., & Touretzky, D. S. (1994). Connectionist models and linguistic theory: Investigations of stress systems in language. Cognitive Science, 18(1), 1-50.

Hauenstein, A., & Weber, H. H. (1994). An investigation of tightly coupled time synchronous speech language interfaces using a unification grammar. In Proceedings of the 12^th National Conference on Artificial Intelligence Workshop on the Integration of Natural Language and Speech Processing, pp. 42-49, Seattle, Washington.

Heeman, P. A., & Allen, J. (1994a). Detecting and correcting speech repairs. In Proceedings of the 32^nd Annual Meeting of the Association for Computational Linguistics, pp. 295-302, Las Cruces, NM.

Heeman, P. A., & Allen, J. (1994b). Tagging speech repairs. In Proceedings of the Human Language Technology Workshop, pp. 187-192, Plainsboro, NJ.

Hendler, J. A. (1989). Marker-passing over microfeatures: Towards a hybrid symbolic/connectionist model. Cognitive Science, 13(1), 79-106.

Hirschberg, J. (1993). Pitch accent in context: Predicting intonational prominence from text. Artificial Intelligence, 63, 305-340.

Jacobs, R. A., Jordan, M. I., & Barto, A. G. (1991a). Task decomposition through competition in a modular connectionist architecture: The what and where vision tasks. Cognitive Science, 15, 219-250.

Jacobs, R. A., Jordan, M. I., Nowlan, S. J., & Hinton, G. E. (1991b). Adaptive mixtures of local experts. Neural Computation, 3(1), 79-87.

Jain, A. N. (1991). Parsing complex sentences with structured connectionist networks. Neural Computation, 3(1), 110-120.

Jordan, M. I., & Jacobs, R. A. (1992). Hierarchies of adaptive experts. In Moody, J. E., Hanson, S. J., & Lippmann, R. R. (Eds.), Advances in Neural Information Processing Systems 4, pp. 985-992, Morgan Kaufmann, San Mateo, CA.

Jurafsky, D., Wooters, C., Tajchman, G., Segal, J., Stolcke, A., Fosler, E., & Morgan, N. (1994a). The Berkeley Restaurant Project. In Proceedings of the International Conference on Speech and Language Processing. pp. 2139-2142, Yokohama, Japan.

Jurafsky, D., Wooters, C., Tajchman, G., Segal, J., Stolcke, A., & Morgan, N. (1994b). Integrating experimental models of syntax, phonology, and accent/dialect in a speech recognizer. An investigation of tightly coupled time synchronous speech. In Proceedings of the 12^th National Conference on Artificial Intelligence Workshop on the Integration of Natural Language and Speech Processing, pp. 107-115, Seattle, Washington.

Medsker, L. R. (1994). Hybrid Neural Network and Expert Systems. Kluwer Academic Publishers, Boston.

Mellish, C. S. (1989). Some chart-based techniques for parsing ill-formed input. In Proceedings of the 27^th Annual Meeting of the Association for Computational Linguistics, pp. 102-109, Vancouver, Canada.

Menzel, W. (1994). Parsing of spoken language under time constraints. In Cohn, A. G. (Ed.), Proceedings of the 11^th European Conference on Artificial Intelligence, pp. 561-564, Amsterdam.

Miikkulainen, R. (1993). Subsymbolic Natural Language Processing. An integrated model of scripts, lexicon and memory. MIT Press, Cambridge, MA.

Miikkulainen, R. (1996). Subsymbolic case-role analysis of sentences with embedded clauses. Cognitive Science, 20, 47-73.

Nakatani, C., & Hirschberg, J. (1993). A speech-first model for repair detection and correction. In Proceedings of the 31^st Annual Meeting of the Association for Computational Linguistics, pp. 46-53 Columbus, Ohio.

Reilly, R. G., & Sharkey, N. E. (Eds.). (1992). Connectionist Approaches to Natural Language Processing. Lawrence Erlbaum Associates, Hillsdale, NJ.

Riloff, E. (1993). Automatically constructing a dictionary for information extraction tasks. In Proceedings of the 11^th National Conference on Artificial Intelligence, pp. 811-816, Washington, DC.

Rumelhart, D. E., Hinton, G. E., & Williams, R. J. (1986). Learning internal representations by error propagation. In Rumelhart, D. E., McClelland, J. L., & The PDP research group (Eds.), Parallel Distributed Processing, Vol. 1., pp. 318-362. MIT Press, Cambridge, MA.

Sauerland, U. (1996). Konzeption und Implementierung einer Speech/Language Schnittstelle. Master's thesis, University of Hamburg, Computer Science Department, Hamburg, FRG.

Sumida, R. A. (1991). Dynamic inferencing in parallel distributed semantic networks. In Proceedings of the 13^th Annual Meeting of the Cognitive Science Society, pp. 913-917, Boston, Chicago.

Sun, R. (1994). Integrating Rules and Connectionism for Robust Common Sense Reasoning. Wiley and Sons, New York.

von Hahn, W., & Pyka, C. (1992). System architectures for speech understanding and language processing. In Heyer, G., & Haugeneder, H. (Eds.), Applied Linguistics. Wiesbaden.

Waibel, A., Jain, A. N., McNair, A., Tebelskis, J., Osterholtz, L., Saito, H., Schmidbauer, O., Sloboda, T., & Woszczyna, M. (1992). JANUS: Speech-to-speech translation using connectionist and non-connectionist techniques. In Moody, J. E., Hanson, S. J., & Lippmann, R. R. (Eds.), Advances in Neural Information Processing Systems 4, pp. 183-190, Morgan Kaufmann, San Mateo, CA.

Ward, N. (1994). An approach to tightly-coupled syntactic/semantic processing for speech understanding. In Proceedings of the 12^th National Conference on Artificial Intelligence Workshop on the Integration of Natural Language and Speech Processing, pp. 50-57, Seattle, Washington.

Weber, V., & Wermter, S. (1995). Towards learning semantics of spontaneous dialog utterances in a hybrid framework. In Hallam, J. (Ed.), Hybrid Problems, Hybrid Solutions - Proceedings of the 10^th Biennial Conference on AI and Cognitive Science, pp. 229-238, Sheffield, UK.

Weber, V., & Wermter, S. (1996). Artificial neural networks for repairing language. In Proceedings of the 8^th International Conference on Neural Networks and their Applications, pp. 117-123, Marseille, FRA.

Wermter, S., & Weber, V. (1996a). Interactive spoken-language processing in a hybrid connectionist system. IEEE Computer - Theme Issue on Interactive Natural Language Processing, July, 65-74.

Wermter, S. (1994). Hybride symbolische und subsymbolische Verarbeitung am Beispiel der Sprachverarbeitung. In Duwe, I., Kurfeß, F., Paaß, G., & Vogel, S. (Eds.), Herbstschule Konnektionismus und Neuronale Netze. Gesellschaft für Mathematik und Datenverarbeitung (GMD), Sankt Augustin, FRG.

Wermter, S. (1995). Hybrid Connectionist Natural Language Processing. Chapman and Hall, Thompson International, London, UK.

Wermter, S., & Löchel, M. (1994). Connectionist learning of flat syntactic analysis for speech/language systems. In Marinaro, M., & Morasso, P. G. (Eds.), Proceedings of the International Conference on Artificial Neural Networks, Vol. 2, pp. 941-944, Sorrento, Italy.

Wermter, S., & Löchel, M. (1996). Learning dialog act processing. In Proceedings of the 16^th International Conference on Computational Linguistics, pp. 740-745, Kopenhagen, Denmark.

Wermter, S., & Peters, U. (1994). Learning incremental case assignment based on modular connectionist knowledge sources. In Werbos, P., Szu, H., & Widrow, B. (Eds.), Proceedings of the World Congress on Neural Networks, Vol. 4, pp. 538-543, San Diego, CA.

Wermter, S., Riloff, E., & Scheler, G. (Eds.). (1996). Connectionist, Statistical and Symbolic Approaches to Learning for Natural Language Processing. Springer, Berlin.

Wermter, S., & Weber, V. (1996b). Artificial neural networks for automatic knowledge acquisition in multiple real-world language domains. In Proceedings of the 8^th International Conference on Neural Networks and their Applications, pp. 289-296, Marseille, FRA.

Wooters, C. C. (1993). Lexical modeling in a speaker independent speech understanding system. Tech. rep. TR-93-068, International Computer Science Institute, Berkeley.

Young, S. R., Hauptmann, A. G., Ward, W. H., Smith, E., & Werner, P. (1989). High level knowledge sources in usable speech recognition systems. Communications of the ACM, 32, 183-194.