To perform natural language processing, we require a language model. This model generates natural language and predicts words in sentences by determining the probability that a sentence is grammatically correct in a particular language. By “correct,” we mean that the sentence is similar to what a human would say or write. However, any language model is only an approximation because natural language is intricate and adaptable, and we cannot model it with complete precision. This is why errors and deficiencies in natural language processing are still common today. The ultimate goal is to minimize the error rate as much as possible.

However, it is important to acknowledge that humans often fail to follow the rules of language accurately. Texts generated by humans, particularly conversational texts like those found in social media interactions, may contain numerous errors and ambiguities. Addressing these issues is a significant challenge in the field of natural language processing.

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Ghanbarpour, M. (2023b, March 14). ‘What is a Language Model?’ NLP With MG. Retrieved from https://chat-mgpt.com/?p=100.