Identifying Distributional Perspectives from Colingual Groups

Discrepancies exist among different cultures or languages. A lack of mutual understanding among different colingual groups about the perspectives on specific values or events may lead to uninformed decisions or biased opinions. Thus, automatically understanding the group perspectives can provide essential back-ground for many natural language processing tasks. In this paper, we study colingual groups and use language corpora as a proxy to identify their distributional perspectives. We present a novel computational approach to learn shared understandings, and benchmark our method by building culturally-aware models for the English, Chinese, and Japanese languages. Ona held out set of diverse topics, including marriage, corruption, democracy, etc., our model achieves high correlation with human judgements regarding intra-group values and inter-group differences

The perspectives of post graduate students in the educational colleges at Mu'tah and Yarmouk Universities of the problems that face them

This study aimed at investigating the perspectives of post graduate students in the educational colleges at Mu'tah and Yarmouk Universities regarding the problems that face them. The sample of the study consisted of (324) students during the first semester of the academic year 2006|2007. A questionnaire consisted of (53) items was distributed at three domains: problems related to students, staff member, and university administration, in order to achieve the study goals.