Theory of Syntactic Recognition for Natural Languages
Theory of Syntactic Recognition for Natural Languages
Natural Language Inquiries abouth Motion in an Automatically Analyzed Traffic Scene
GWAI '81 Proceedings of the German Workshop on Artificial Intelligence
Linguistic analysis of natural language communication with computers
COLING '80 Proceedings of the 8th conference on Computational linguistics
IJCAI'83 Proceedings of the Eighth international joint conference on Artificial intelligence - Volume 1
Hindi derivational morphological analyzer
SIGMORPHON '12 Proceedings of the Twelfth Meeting of the Special Interest Group on Computational Morphology and Phonology
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The treatment of word formations has until recently been a neglected topic in natural language AI research. This paper proposes a multilayered approach to word formation which treats derivatives and compounds on several different levels of processing within a natural language dialogue system. Analysis and generation strategies being developed for the dialogue system HAM-ANS are described. Identification of word formations, semantic interpretation, and evaluation in the context of a dialogue are the main levels of analysis on which the system successively attempts to infer the implicit relations between word formation components. Generation of word formations is viewed as a process comparable to the generation of elliptical utterances.