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Machine Learning in Natural Language Processing: A Comprehensive Guide

Natural Language Processing (NLP) is a field of computer science that deals with the interaction between computers and human language. It encompasses a wide range of tasks, including text analysis, machine translation, speech recognition, and text generation. In recent years, the rise of machine learning has revolutionized NLP, enabling systems to achieve unprecedented levels of accuracy and sophistication. Introduction to Machine Learning in NLP Machine learning, a subset of artificial intelligence (AI), allows computers to learn from data without being explicitly programmed. In NLP, machine learning algorithms are trained on large datasets of text and code to extract patterns and relationships that can be used to perform various language-related tasks. Types of Machine Learning Algorithms in NLP There are several types of machine learning algorithms commonly used in NLP, each with its strengths and weaknesses: Supervised Learning: Algorithms are trained on labe...