Exploring the Role of Machine Learning in Natural Language Processing

Introduction

Natural Language Processing (NLP) is a subfield of artificial intelligence that focuses on the interaction between computers and human language. It aims to enable computers to understand, interpret, and generate human language, bridging the gap between machines and humans. In recent years, the advent of machine learning techniques has revolutionized the field of NLP, allowing for more accurate and efficient language processing. This article delves into the role of machine learning in NLP, exploring its impact on various NLP tasks and highlighting its potential for future advancements.