In this paper, we propose a unified framework for the syntactico-semantic learning of natural languages. This framework integrates recent results on grammatical inference with positive structural examples and an algebraic characterization of the Principle of Compositionality, introduced by linguists and logicians. The purpose is to give account of how children learn to understand their native language from data composed of correct sentences together with their meaning.
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