In this paper, a model of analogy-based learning is presented, whose main novelty is the crucial ability to produce analogies in multi-dimensional input and output spaces. Evaluations are performed on various word pronunciation tasks, revealing the effectiveness of such joint learning strategies.

In a range of contexts, one comes across processes resembling inference, but where input propositions are not in general included among outputs, and the operation is not in any way reversible. Examples arise in contexts of conditional obligations, goals, ideals, preferences, actions, and beliefs. Our purpose is to develop a general theory of propositional input/output operations. Particular att...