How do older adults communicate with the UK public sector? : Comparing online communication channels

Copyright and all rights therein are retained by the authors. All persons copying this information are expected to adhere to the terms and conditions invoked by each author's copyright. These works may not be re-posted without the explicit permission of the copyright holdersGovernments around the world are moving away from conventional ways of face to face communication to a more digital approach when delivering services to their citizens. This includes using the internet as both a communication tool and an information source to improve efficiency in their services. However, not all the citizens are making use of these changes, especially the older adults. Therefore, this research-in-progress paper aims to investigate and identify the factors that encourage older adults to continue using a particular communication channel when interacting with the government. In addition, future directions, limitations and conclusions are also provided within this paper. The implication of this study to academia is viewed to be the development of an extended framework that allows an understanding of continuance intention of online communication tools usage. Equally, this framework will benefit industry by informing providers of communication channels to the government to be aware of the factors that influence older adults’ choices when interacting with the government. For policymakers this research will identify the communication channels that promote interaction with citizensFinal Published versio

Improving Performance Of English-Hindi Cross Language Information Retrieval Using Transliteration Of Query Terms

The main issue in Cross Language Information Retrieval (CLIR) is the poor performance of retrieval in terms of average precision when compared to monolingual retrieval performance. The main reasons behind poor performance of CLIR are mismatching of query terms, lexical ambiguity and un-translated query terms. The existing problems of CLIR are needed to be addressed in order to increase the performance of the CLIR system. In this paper, we are putting our effort to solve the given problem by proposed an algorithm for improving the performance of English-Hindi CLIR system. We used all possible combination of Hindi translated query using transliteration of English query terms and choosing the best query among them for retrieval of documents. The experiment is performed on FIRE 2010 (Forum of Information Retrieval Evaluation) datasets. The experimental result show that the proposed approach gives better performance of English-Hindi CLIR system and also helps in overcoming existing problems and outperforms the existing English-Hindi CLIR system in terms of average precision.Comment: International Journal on Natural Language Computing (IJNLC) Vol. 2, No.6, December 2013 http://airccse.org/journal/ijnlc/index.htm