Modelling the machines' own language with natural language processing
2022
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Advisor: Dr. Öğr. Üyesi Atınç Yılmaz
Abstract (EN)
All living things in nature use various methods to communicate with each other. There is still not enough information about the formation and development of languages. Various studies have been carried out on the formation of languages and natural language processing processes from the past to the present, and these studies include different methods, different analyzes and different approaches. Developing an approach for machines to produce their own languages, thus contributing to the processes of these machines in the process of creating humanoid machines to communicate with their own language, just like humans have, guiding linguists in the formation of natural languages, and their ability to distinguish and classify living things using convolutional neural networks. It is aimed to gain the ability to generate new sounds. The focus is on providing more effective audio analysis by using image processing algorithms in audio processing and developing a new model in audio processing. People have been working on the formation and development of languages for centuries. Thanks to languages, people can interact with each other. With the study, models have been created in order to enable this ability to be gained by machines. In the study, existing natural language processing models and sound processing models were used. First, the machine had to decide which alphabet it would like to use today, and then, by using Regenerative Artificial Neural Networks, Mel Frequency Cepstral Coefficient and Dynamic Time Warp approach models together, sounds similar to the sounds of living things were derived and living things were named with these sounds. As a result of the study, an approach has been developed so that machines can produce their own languages. Thus, in the process of creating humanoid machines, these machines also contributed to the process of communicating with their own language, just like humans have. It is aimed to guide linguists in the process of formation of natural languages.
Author
Dr. Ali Dayan
Institution
How to Cite
Ali Dayan (Master Thesis). Modelling the machines' own language with natural language processing, 2022, İstanbul Beykent University.
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