Hindi-English Translation Memory System
Journal: International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) (Vol.4, No. 2)Publication Date: 2015-05-20
Authors : Nandita Srivastava; Priya Singh; Sukanya Chauhan; Shashi Pal Singh; Ajai Kumar; Hemant Darbari;
Page : 147-152
Keywords : Translation Theory; Computer Assisted Translation; Translation Memory; Hindi to English; Natural Language Processing;
Abstract
This paper outlined the Hindi-English Translation Memory System as a tool to translate the Hindi texts into English by human translator using the already existing Hindi-English text pairs in the TM database. Translation memory(TM) systems were commercially available in the market in late 1990’s but the researches in this field have been in continuation since 1970’s. It is a database that consists of existing translations which can be later reused as a suggestion to the translator for translating a query.TM has evolved as an important area in the translation industry and is widely used among translators but not much of the works have been done for Indian languages in comparison to other foreign languages. This makes us feel the requirement of having such a tool that performs the translation of Hindi documentation into English which favors the recognition of the localized work in Hindi globally. The following methodologies are used in our system: - pre processing module that includes filtering and segmentation, retrieval module that employs N-gram statistical model with 3-operation Edit Distance (Levenshtein Distance) as a string matching metrics, termbase module, named entity recognition and transliteration are employed to enhance the quality and the efficiency of the translation. We further discussed the workflow among the processes involved in the establishment of our system and concluded with the efficient experimental results obtained.
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Last modified: 2015-05-15 20:29:09