Language - Lecture 6 - CS50's Introduction to Artificial Intelligence with Python 2023

The lecture explores natural language processing (NLP), focusing on how computers can understand and generate human language. It begins by addressing the challenges of syntax and semantics, illustrating how computers can learn language structure through formal grammars and statistical methods like n-grams. The lecture then covers text classification using a Naive Bayes classifier, explaining the bag-of-words model and addressing potential issues like zero probabilities with additive smoothing. Finally, it discusses word representations using Word2Vec, highlighting distributed representations and the concept of words with similar meanings having similar vector representations. The lecture concludes by examining neural networks, including recurrent neural networks and transformer architectures, emphasizing the importance of attention mechanisms for machine translation and conversational AI.