摘要：Young children produce multi-word sentences including some systematic errors or overproduction. It has been reported that English-speaking children may add a mor- pheme “ed” to an irregular verb as its past tense while Japanese-speaking children may position a case particle “NO” after an adjective. We hypothesize that an insufficient in- crease in grammatical categories causes such overproduction, which can be expected to disappear with a sufficient increase.We assume that hidden states of a hidden Markov model (HMM) correspond to grammatical categories acquired from language input. Based on the HMM, the simulation results could partially verify the above hypothesis. In the English-trained model, the overproduction could appear and then decline. How- ever, it did not completely disappear because categories of regular and irregular verbs did not differentiate even when the model had many categories. In the Japanese-trained model, the overproduction could appear and then disappear through differentiation of categories of nouns and adjectives. The limitations of the proposed model are pointed out and future issues are discussed.
关键词：overproduction ; grammatical category ; computational model ; hidden Markov model
