In a nutshell, our thesis is that the phenomena currently encompassed under the label of “statistical learning” are nothing else that the end-product of ubiquitous associative learning processes and moreover, that the associative tradition in fact provides the basic architecture for a much more powerful integrative framework than provided by the recent literature on word segmentation and language acquisition.
Word segmentation: Trading the (new, but poor) concept of statistical computation for the (old, but richer) associative approach
