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Interactive Spoken-Language Processing in a Hybrid Connectionist System
July 1996 (vol. 29 no. 7)
pp. 65-74

We have developed a hybrid connectionist/symbolic spoken-language processing system.The SCREEN (Symbolic Connectionist Robust Enterprise for Natural Language) system has to be sufficiently robust to analyze real-world spoken language, which is unpredictable and full of errors. SCREEN uses as its input word hypotheses generated by a speech recognizer, which identifies spoken words for spoken-language processing. After receiving word hypotheses, the system produces many utterance hypotheses and then determines which are most likely to be accurate. The system is robust enough to continue processing spoken language even when encountering incorrect word hypotheses produced by speech recognizers. SCREEN learns a flat syntax, semantics, and pragmatics representation, and deals with uncommon syntactic and semantic language irregularities. It can be used for relatively large and complex tasks. Early connectionist networks could be used only for relatively small tasks.

Citation:
Stefan Wermter, Volker Weber, "Interactive Spoken-Language Processing in a Hybrid Connectionist System," Computer, vol. 29, no. 7, pp. 65-74, July 1996, doi:10.1109/2.511970
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