Developing an efficient algorithm for representation and compression of large Bengali text

Abstract

Efficient coding is one of the chal information and communication theory. On t natural languages such as Bengali is cod technology which requires more space and thu to transfer the data of that language. In th proposed a novel algorithm to represent Ben and then to compress the text offering a better Each Bengali character is represented by intermediate decimal value. Indexing and so values successive subtraction is performed on to reduce the weight of the numbers. The n word can now be encoded with a very few bits other compressors, the compression ratio algorithm decreases in a big amount for the lar contain more duplicate or redundant words, m same length and more words of the same len prefix called Uposorgo in Bengali.

A Compression System for Unicode Files Using an Enhanced Lzw Method

“…Vijayalakshmi and Sasirekha (2018) used a static dictionary compression technique in which Unicode characters were replaced with ASCII characters for compression and the original file was retained in the decompression process. Marjan et al (2014) had proposed a novel approach in which Bengali text was represented efficiently with a better compression ratio. Yamagiwa et al (2019) proposed a work known as LCA-DLT (Lowest Common Ancestor-Dynamic invalidation and Lazy compression Technique) and it focused on a technique to reduce the number of searches in the dictionary using a bank separation technique.…”