Design of English-Hindi Translation Memory for Efficient Translation

Developing parallel corpora is an important and a difficult activity for Machine Translation. This requires manual annotation by Human Translators. Translating same text again is a useless activity. There are tools available to implement this for European Languages, but no such tool is available for Indian Languages. In this paper we present a tool for Indian Languages which not only provides automatic translations of the previously available translation but also provides multiple translations, in cases where a sentence has multiple translations, in ranked list of suggestive translations for a sentence. Moreover this tool also lets translators have global and local saving options of their work, so that they may share it with others, which further lightens the task.Comment: Proceedings of National Conference in Recent Advances in Computer Engineering, 201

Yemaya No. 33, March 2010

Report/South Africa- Recasting the Net, What’s New, Webby?- European Parliament resolution recognizes women in fisheries,America/Canada- Stuck at the back of the boat, Milestones- Magna Carta of Women adopted in Philippines, Profile- Chitra Suriyakumar: Living in Hope, Report/India- Women, the Eyes of the World, Q&A- Interview with Clarisse Canha from Associação para a Igualdade e Direitos das Mulheres —Association for Equality and Rights for Women (UMAR-Azores), Yemaya Mama- ... sums it up !! Yemaya Recommends- Fisherwomen, Fishermen’s Wives

Achieving Skill Mobility in the ASEAN Economic Community: Challenges, Opportunity, and Policy Implications

Despite clear aspirations by the Association of Southeast Asian Nations (ASEAN) to create an effective and transparent framework to facilitate movements among skilled professionals within the ASEAN by December 2015, progress has been slow and uneven. This report examines the challenges ASEAN member states face in achieving the goal of greater mobility for the highly skilled, including hurdles in recognizing professional qualifications, opening up access to certain jobs, and a limited willingness by professionals to move due to perceived cultural, language, and socioeconomic differences. The cost of these barriers is staggering and could reduce the region’s competitiveness in the global market. This report launches a multiyear effort by the Asian Development Bank and the Migration Policy Institute to better understand the issues and develop strategies to gradually overcome the problems. It offers a range of policy recommendations that have been discussed among experts in a high-level expert meeting, taking into account best practices locally and across the region

Linking Higher Education and Social Change

More than four thousand stories could be told about the remarkable individuals who received fellowships under the Ford Foundation International Fellowships Program (IFP) between 2001 and 2010. Over the decade, the program enabled 4,314 emerging social justice leaders from Asia, Russia, Africa, the Middle East, and Latin America to pursue advanced degrees at more than 600 universities in almost 50 countries. By April 2013, nearly 4,000 Fellows had completed their fellowships, receiving degrees in development-related fields ranging from social and environmental science to the arts. A survey done in early 2012 showed that 82 percent of more than 3,300 former Fellows were working in their home countries to improve the lives and livelihoods of those around them, while many of the rest were studying for additional advanced degrees or working in international organizations. The final group of Fellows enrolled in universities around the world will complete their fellowships by the end of 2013.In 2001, the Ford Foundation funded IFP with a $280 million grant, the largest single donation in the Foundation's history. The program was intended to provide graduate fellowships to individuals in countries outside the United States where the Foundation had grant-making programs. In 2006, the Foundation pledged up to$75 million in additional funds, allowing IFP to award more than 800 fellowships beyond its original projections. As extraordinary as the level and duration of funding, though, was IFP's singular premise: that extending higher education opportunities to leaders from marginalized communities would help further social justice in some of the world's poorest and most unequal countries. If successful, IFP would advance the Ford Foundation's mission to strengthen democratic values, reduce poverty and injustice, promote international cooperation and advance human achievement. It would decisively demonstrate that an international scholarship program could help build leadership for social justice and thus contribute to broader social change.In striving toward its ambitious goals, the program would transform a traditional mechanism -- an individual fellowship program for graduate degree study -- into a powerful tool for reversing discrimination and reducing long-standing inequalities in higher education and in societies at large. This report is the story of that transformation

Comparison of Deep Learning and the Classical Machine Learning Algorithm for the Malware Detection

Recently, Deep Learning has been showing promising results in various Artificial Intelligence applications like image recognition, natural language processing, language modeling, neural machine translation, etc. Although, in general, it is computationally more expensive as compared to classical machine learning techniques, their results are found to be more effective in some cases. Therefore, in this paper, we investigated and compared one of the Deep Learning Architecture called Deep Neural Network (DNN) with the classical Random Forest (RF) machine learning algorithm for the malware classification. We studied the performance of the classical RF and DNN with 2, 4 & 7 layers architectures with the four different feature sets, and found that irrespective of the features inputs, the classical RF accuracy outperforms the DNN.Comment: 11 Pages, 1 figur

International migration in New Zealand: Context, components and policy issues

This paper explores Aotearoa/New Zealand’s distinctive heritage as both a ‘traditional land of immigration’ as well as a ‘country of emigration’, with particular reference to contemporary policy issues and research initiatives. An underlying theme of the argument is the need for an approach which takes account of all types of movement into and out of the country when researching immigration, both as a process and as a policy domain