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Direct linkAlderete, John; Tupper, Paul; Frisch, Stefan A. – Language Sciences, 2013
A significant problem in computational language learning is that of inferring the content of well-formedness constraints from input data. In this article, we approach the constraint induction problem as the gradual adjustment of subsymbolic constraints in a connectionist network. In particular, we develop a multi-layer feed-forward network that…
Descriptors: Language Processing, Logical Thinking, Semitic Languages, Statistical Analysis
