Lossless text compression using GPT-2 language model and Huffman coding

Modern daily life activities produced lots of information for the advancement telecommunication. It is a challenging issue to store them on digital device or transmit it over Internet, leading necessity data compression. Thus, research compression solve has become topic great interest researchers. Moreover, size compressed generally smaller than its original. As result, saves storage and increases transmission speed. In this article, we propose text technique using GPT-2 language model Huffman coding. proposed method, Burrows-Wheeler transform list keys are used reduce original file’s length. Finally, apply mode then coding encoding. This method compared with state-of-the-art techniques show that demonstrates gain in ratio other methods.