Abstract
Natural language processing (NLP) is an emerging field within the broader domain of AI, which enables computers to understand human language, including the complexities of natural language understanding, text generation, sentiment analysis, and machine translation, to name a few NLP complexities. NLP has emerged as a result of the emergence of the human need to ease his work through a drive to interact with the machine using natural language, despite the fact that the user might not know how to express himself in the new language the machine will use to express itself to the user. NLP, therefore, focuses strictly on the user who does not have the time toBusy to learn the new language to the level of perfection, as the user might lack the time to keep improving his skills in the new language. Before NLP, many applications for the new language had been implemented, particularly in the recent past, resulting from the recent advances made within deep learning, including the implementation of the transformer model and the BERT model, which has shown immense improvements within the field of natural language understanding, including generation, thereby making the NLP applications more precise for the user compared to the previous ones.