The Representation Of Mongolian Negative Sentences With State And Post Effect Of Negative Words

Any language has denied. Researchers have proposed various theories to explain the negative processing mechanism. Overall, the processing of negation involves two models:the one-step model and two-step processing model. To the one-step model or integrated model, the actual state of affairs was spontaneously obtained without representing the negative state of sentence. However, the model is only available in a simple negative sentence with a certain state. The two step process models suggest that negative sentence processing is divided into two steps. The first step is to characterize the incident negative state, the actual state of the second step represent of events. For example, the negative sentence,"the window is not open", the first step of "the window is open", the second step of the window is closed".So far, the process of negation which model belongs there are still differences. However, most previous conclusions based on studies the language of negative word before the verb. Mongolian belongs to a language that negative word located after the verb. Our study aim to explore the simulation process Mongolian negative sentences with state.By using the sentence-picture verification paradigm and self paced reading methods with Mongolian and Chinese bilingual college students whose mother tongue is Mongolian. Time between sentence and picture was defined for 250ms,750ms and 1500ms to explore early, middle and late dynamic representation of negative sentence with a certain state. After reading the sentences with a delay condition of either 250ms,750ms, or 1500ms, pictures were presented instantly. In Experiment 1, experiment 2 and 3 were 2 (sentence type:positive and negative)×2 (matching state: pictures and sentences that describe the object shape matching and non matching) within subjects experimental design. The results showed that in 250ms time interval conditions, the main effect of the matching state significantly, match with the actual status of the sentence picture of reaction time was significantly shorter in the reaction does not match the pictures, picture matching with the actual state of the event matching effect, significant main effect of sentence type, reaction processing negation was significantly longer in the affirmative; there was a significant interaction between the language and the sentence types; in 750ms time interval conditions. The main effect of sentence types significantly, reaction processing negation was significantly longer in the affirmative and still has matching effect; the interaction between language and sentence types was not significant. In the 1500ms time interval under the condition that the main effect of sentence types significantly negative sentence processing were significantly longer than affirmative, still has the matching effect. The interaction of language types and sentence type is not significant. Experimental results show that the negative word rear of the Mongolian State determined negative sentences in terms of, in the early stages of processing, showing post effect. And Mongolian and Chinese are in the early stages of processing is complete simulation of the actual state of the event, which is to support one step processing model in the integration model.In the study 2,native Mongolian College students were tested by sentence picture verification paradigm and self paced reading methods for 250ms,750ms and 1500ms to explore early, middle and late dynamic representation of negative sentence with a uncertain state. Experiment 1, experiment 2 and all used 2 (language type:Mongolian/Chinese) x 2 (sentence type:affirmation and negation)×3 (picture type:"N" of depicting the negated state of affairs/" x+N" of depicting the actual state of affairs of negated sentences/"A" of depicting one of the alternative states of affairs of negated sentences)The results showed that has a significant main effect of sentence types in three time intervals, reaction processing negation was significantly longer in the affirmative; for negative sentences, of adding negative labeling of images "x+N" reaction time was significantly shorter than that of and events are negative state matches the picture of "N" reaction, to affirmative sentences, picture of "N" reaction time was significantly shorter in the reaction of" x+N"; the main effect of sentence type and image type is not significant. This shows that the actual state is not characterized by the negative state, whether in the short time interval or in the long time interval.Overall, this study shows that Mongolian-Chinese bilingual process negative sentences with certain state and with uncertain state in line with the integration model, and Mongolian isolated negative sentences with certain state exist post effect at early stage of processing.