Incepting on Language Structures with Phonological and Corpus Analysis Using Multilingual Computing

  • Bidisha ChoudhuryEmail author
  • Anupam Das
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 1192)


In this paper it is tried to incept into the structures of different languages around the world. The languages are selected on the basis of the four directions of this part of the world. Initially, the structures of the languages are explained. A model for machine translation is proposed in which the audio of a language is taken as input and subsequently convert the data into text and finally in binary to process the language. During the process, the model finds the phonetic distances and phonological distance and then blended both. The corpus generation is also made the model more useful for the further language computing. There are three languages such as Sanskrit Language (SL), English Language (EL) and the Russian Language (RL) considered for the analysis.


Phonetic distance Phonological distance Language-preservation UG-Unigram BG-Bigram LCFG-Language Computing for Feature Generation 


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© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Visva Bharati UniversitySantiniketanIndia
  2. 2.Cotton UniversityGuwahatiIndia

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