Language learning is a three-way interaction between the input, the learner, and the interactional context (Bloom, 1974). This three-way interaction provides a general framework for understanding first and second language acquisition, in both naturalistic and formal contexts. In order to elaborate this general framework, we need to model its three components:1. The input. We need to know how the linguistic input can be structured to maximize effective learning. What aspects of the phonology, syntax, semantics, and morphology of the input does the learner use to "crack the code" of the new language? 2. The learner. We need to understand exactly how the cognitive abilities of the learner shape the process and outcome of second language instruction. 3. The context. Traditionally, the classroom environment maintains a rather uniform structure in which interaction is controlled by the instructor. How does this framework affect learning and how can it be varied to improve the learning process?This paper will examine these three components within the framework of the Competition Model (MacWhinney, 1987; MacWhinney & Bates, 1989). To quantify the role of the input in second language learning, the model relies on the concepts of cue reliability and availability. To characterize the cognitive abilities of the learner, the model relies on findings from cognitive neuroscience. To understand the role of the context, the model elaborates the concepts of environmental and social support. The Competition Model views both first and second language learning as constructive, data-driven processes that rely not on universals of linguistic structure, but on universals of cognitive structure. It attributes development to learning and transfer, rather than to the principles and parameters of Universal Grammar (Chomsky, 1965).
The InputThe Competition Model is designed to quantify the ways in which distributional properties of the input control language learning and language processing. The basic claim of the model in regard to input is that language comprehension is based on the detection of a series of cues and the reliability and availability of these determines the strength of cues in comprehension. The model contrasts sharply with generative grammar in this regard. Generative grammar views language through the lens of abstract trees in a universal deep structure. The Competition Model recognizes the importance of surface phrase structure, but relates all sentence processing to cue detection and interpretation. Those cues that are highest in reliability and availability are the ones that most strongly control comprehension and which are acquired first during language learning.In order to elaborate this simple relation between cues and comprehension, we need to specify how languages distribute cues across sentences. To do this, the Competition Model has turned to crosslinguistic studies of sentence processing. In particular, the forms or