![]() You will get Bangla translation of your English text within a second.Ĥ. ![]() (Tip - Make sure your English sentences are in proper grammar. Type or paste your English text, word, story in above text area. Keywords: name transliteration support vector machines hidden Markov model HMM modified joint-source channel model machine transliteration machine translation. Our experiments also reveal that the performance of HMM-based system is comparable with the SVM-based system. After the systems have been evaluated, the obtained results show that our proposed SVM-based model gives the best results among the others. Our proposed methods have been compared with some existing transliteration method that uses a modified version of joint-source channel model. Bengali-to-English forward and backward name transliteration have been considered in this study. A study on using hidden Markov model (HMM) for solving machine transliteration problem viewed as a sequence learning problem has also been presented in this paper. This approach considers transliteration task as a multi-class problem of pattern classification, where the input is a source transliteration unit (chunks of source grapheme) and the classes are the distinct transliteration units (chunks of target grapheme) in the target language. In this article, a SVM-based name transliteration approach has been presented. ![]() Title: Machine transliteration using SVM and HMMĪddresses: Computer Science and Engineering Department, Jadavpur University, Kolkata – 700 032, India ' Computer Science and Engineering Department, Jadavpur University, Kolkata – 700 032, IndiaĪbstract: Name transliteration plays an important role in developing automatic machine translation and cross lingual information retrieval system because these systems cannot directly translate out-of-vocabulary (OOV) words. International Journal of Advanced Intelligence Paradigms.Inderscience Publishers - linking academia, business and industry through research Article: Machine transliteration using SVM and HMM Journal: International Journal of Advanced Intelligence Paradigms (IJAIP) 2021 Vol.19 No.1 pp.3 - 27 Abstract: Name transliteration plays an important role in developing automatic machine translation and cross lingual information retrieval system because these systems cannot directly translate out-of-vocabulary (OOV) words.
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