HOW LEARNING AND COMMUNICATION PROCESSES OCCUR NATURALLY VS. ARTIFICIALLY: AN ANALYSIS
Andrei Zamfira · eLearning and Software for Education · 2021
In this paper we will continue our delve into the analysis of natural processes of human beings and their respective computational technologies that had been developed by now with the aim to artificially emulate them and implement into machines. This time we will focus our study on the communication and learning of a language, we will have a closer look at how these processes occur at humans from a psychological and also a neurological perspective, we'll show what models had been produced by research in these two sub-fields of Linguistics in their quest to try to explain these absolutely complex processes that happen inside our brain which make language communication possible. We'll compare these models with the techniques that have been developed for machines, i.e. that are able to make machines hear, understand human speech, and synthesize it. Those are the technologies with which deals the science of Computational Linguistics, which fall into sub-fields such as Natural Language Processing, Speech Recognition and Speech Synthesis. We'll see why this is one of the hardest tasks to be implemented at computers (if not impossible) since it requires so many knowledge from multiple domains (especially grammars of a language). This is only the psychological aspect of the natural processes that could have been emulated by the technique, regarding the neurological (or neuro-physiological part), as it can be thought, that is out of the question right now and can maybe be realized maybe only by reverse genetic engineering technologies (DNA reproduction).