Morphological rules of bangla repetitive words for UNL based machine translation

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Abstract

This paper develops new morphological rules suitable for Bangla repetition words to be incorporated into an interlingua representation called Universal Networking Language (UNL). The proposed rules are to be used to combine verb roots and their inflexions to produce words which are then combined with other similar types of words to generate repetition words. This paper outlines the format of morphological rules for different types of repetition words that come from verb roots based on the framework of UNL provided by the UNL centre of the Universal Networking Digital Language (UNDL) Foundation.

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APA

Yousuf Ali, M. N., Sorwar, G., Toru, A., Islam, M. A., & Shamsujjoha, M. (2015). Morphological rules of bangla repetitive words for UNL based machine translation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9142, pp. 401–408). Springer Verlag. https://doi.org/10.1007/978-3-319-20469-7_43

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