We compared 2 learning methods for the acquisition of vocabulary in a second language (L2). In addition, the use of the new L2 words was evaluated both in isolation and within sentences. In the semantic method, L2 words and pictures denoting their meanings were presented and participants learned by practicing a semantic categorization task (to…

Computational models have shown that purely statistical knowledge about words' linguistic contexts is sufficient to learn many properties of words, including syntactic and semantic category. For example, models can infer that "postman" and "mailman" are semantically similar because they have quantitatively similar patterns of…

Infants can use statistical regularities to form rudimentary word categories (e.g. noun, verb), and to learn the meanings common to words from those categories. Using an artificial language methodology, we probed the mechanisms by which two types of statistical cues (distributional and phonological regularities) affect word learning. Because…