This volume explores the cross-linguistic diversity, and possibly inconsistency, of the span of linguistic means that signal reported speech and thought. The integration of broad linguistic (viewpoint in conversation and narrative) and cognitive (theory of mind and understanding the inner life and thought of others) strategies for handling mixed points of view will be considered.

The present study addresses language ostracism in intercultural communication, a phenomenon when someone speaks a language but some members of this language community don’t speak to him in this language. This phenomenon is illustrated by language behaviour towards visually distinct bilingual minorities in Taiwan. Visually distinct minorities in Taiwan reported that they had been spoken to in English by small children or people who did not believe and accept that they really understood Mandarin when they spoke it. They might be (...) spoken to in English despite actually speaking good Mandarin. Taiwanese people behave this way because of two conditions existing in Taiwan: an English-speaking foreigner stereotype where people assume that every foreign-looking person speaks English, and English privilege in Taiwanese society which leads to people being treated better if they can speak English. (shrink)

The paper discusses the role of tense and time from a cross-linguistic perspective by comparing English and Mandarin. Multiple translations of the same literary piece are used to test the correspondence between the tense, the perfective aspect and temporal adverbials. In English, tense marking is found to work with at least two language-specific stylistic means, clause interpolation and inversion, to create a mixed narrative viewpoint. In Mandarin, neither the perfective aspect nor temporal adverbials, i.e., constructions that invoke time, are systematically (...) used across the renditions, which shows the Mandarin system’s overall indifference to time in managing viewpoint in discourse. The Mandarin renditions, in addition to an overall indifference to time, feature consistent and frequent use of reduplication as the system’s distinctive viewpoint strategy. The paper concludes with a discussion of the cognitive consequence of a language using an obligatory marking system to piggyback the function of viewpointing narratives. (shrink)

To evaluate the performance of rural land circulation mode through the analytic network hierarchy process, based on the results of the performance evaluation with analytic network process, we implemented efficiency analysis on five types of rural land circulation mode by two improved efficiency analytic procedures. Finally, we implemented sensitivity analysis for each criterion layer of the evaluation index system with the performance evaluation data, interpreted five types of rural land circulation mode from three perspectives including benefits, costs, and risks with (...) sensitivity analysis results, and drew related conclusions including higher revenue which will lead to smaller difficulty of the rural land circulation. Cost variables were negative variables of the selected rural land circulation mode, and higher risk would lead to the greater difficulty of rural land circulation and related conclusions. (shrink)

The fuzzy clustering algorithm has been widely used in the research area and production and life. However, the conventional fuzzy algorithms have a disadvantage of high computational complexity. This article proposes an improved fuzzy C-means algorithm based on K-means and principle of granularity. This algorithm is aiming at solving the problems of optimal number of clusters and sensitivity to the data initialization in the conventional FCM methods. The initialization stage of the K-medoid cluster, which is different from others, has a (...) strong representation and is capable of detecting data with different sizes. Meanwhile, through the combination of the granular computing and FCM, the optimal number of clusters is obtained by choosing accurate validity functions. Finally, the detailed clustering process of the proposed algorithm is presented, and its performance is validated by simulation tests. The test results show that the proposed improved FCM algorithm has enhanced clustering performance in the computational complexity, running time, cluster effectiveness compared with the existing FCM algorithms. (shrink)