Multilingual Information Retrieval & Use: Perceptions and Practices Amongst Bi/Multilingual Academic Users

In recent years, technological advancements in Natural Language Processing (NLP) such as machine translation have made it possible for users to access information in multiple languages, even those in which they may not be proficient. The current study investigated the information searching behavior of bi/multilingual academic users, and examined their practices and perceptions regarding searching for information on the Internet and on electronic databases. Bi/multilingual students were recruited from a Canadian university and a community college both located in London, Ontario. A total of 250 (N = 250) students completed a web survey through a link that was embedded in an invitation e-mail. Results showed that though advancements in NLP technology have alleviated some of the linguistic related challenges that some bi/multilingual academic users face while searching for information online, language barriers do still exist for some especially at the query formulation stage. The study found that an increase in Multilingual Information Access (MLIA) tools on electronic databases coupled with appropriate information literacy instruction could be helpful in further alleviating language barriers. © 201

A new author's productivity index: p-index

In this paper a new author's productivity index is introduced, namely the golden productivity index. The proposed index measures the productivity of an individual researcher evaluating the number of papers as well as the rank of co-authorship. It provides an efficient method to measure the author's contribution in articles writing, compared to other ordinary methods. It gives emphasis to the first authors contributions due to the fact that traditionally the rank of each author shows the magnitude of his contribution in the article