Explore text classification and sequence labeling in multilingual natural language processing through this comprehensive lecture from CMU's CS11-737 course. Delve into various models, techniques, and datasets used for these tasks, including neural networks, recurrent neural networks, and feedforward neural networks. Learn about language identification, named entity recognition, and composite benchmarks. Gain insights into the application of these concepts in multilingual contexts, with a focus on practical implementation and real-world datasets. Enhance your understanding of NLP fundamentals and advanced techniques for processing text across multiple languages.