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A method to integrate word sense disambiguation and translation memory for english to hindi machine translation system

Rawat Sunita

Computer Assisted Methods in Engineering and Science

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2022

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Vol. 29, no. 1-2 spec.

125--144

EN

Word sense disambiguation deals with deciding the word’s precise meaning in a certainspecific context. One of the major problems in natural language processing is lexical-semantic ambiguity, where a word has more than one meaning. Disambiguating the senseof polysemous words is the most important task in machine translation. This researchwork aims to design and implement English to Hindi machine translation. The designmethodology addresses improving the speed and accuracy of the machine translation process. The algorithm and modules designed in this research work have been deployed on theHadoop infrastructure, and test cases are designed to check the feasibility and reliabilityof this process. The research work presented describes the methodologies to reduce datatransmission by adding a translation memory component to the framework. The speed ofexecution is increased by replacing the modules in the machine translation process withlightweight modules, which reduces infrastructure and execution time.

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Using Google translate in teaching and learning activities for English – medium – instruction (EMI) subjects

Phuong Anh Nguyen, Thanh Loan Nguyen T., Hong Nga Nguyen T.

Annals of Computer Science and Information Systems

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2021

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Vol. 28

253--258

EN

In the age of globalization, translation has tended increasingly necessary in bilingual classrooms. The advancement of technology has provided useful tools for making translation easier and more convenient. The automatic tool “Google translate” is increasingly popular and used in many teaching-learning activities recently. The study provides a comprehensive and new insight into the strengths and weaknesses of Google translate. Through the comparison of machine translation and human translation on the aspects of task response, coherence, lexical resource, grammar and accuracy, it shows that there are some limitations in machine translation. which affects the quality of the translations. However, machine translation still plays an important role in supporting users, in terms of time and economic efficiency. Google Translation is a productive tool to assist individuals in learning and teaching in the field of specialized English-medium-instruction subjects.

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Technological advances and AI, how they affect the working lives of translators, and what impacts they are having on the education of future translators

von Schilling M.

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

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2018

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z. 122

175--183

EN

Theoretically, the task of translating from one language to another is still the same as it was only twenty or thirty years ago. In practice, however, the paths that translators take to achieve (more or less) the same results are changing all the time. This is because of changes in the media being worked in and with, as well as the increasingly powerful tools which are there for translators to use. These changes inevitably mean that the training which future translators receive has to be changed and adapted to reflect the changes in the way in which they will have to work, and even to reflect changes in the role of the translator.