Grammatical Error Checker for Text and Speech using NLP and Speech Recognition in LLMs

With the rapid growth of Artificial Intelligence (AI) and Machine Learning (ML), the ways in which we perform many of our day-to-day tasks have changed. The process of documentation has become simpler due to new-age tools that leverage technologies such as AI and ML to automate tasks such as searching for grammatical errors in sentences and spelling errors in words within a text document. Speech recognition is being used in the pursuit of automating tasks and reducing dependency on humans. Natural Language Processing, or NLP is used by Large Language Models (LLMs) to process inputs in the form of text or speech for a multitude of tasks such as text classification and language translation. This paper begins with an explanation of NLP and later provides an overview of speech recognition.