This course offers a comprehensive introduction of the fundamental aspects of Natural Language Processing (NLP), and its recent advances based on machine learning modals such as neural networks and downstream applications such as summarization, and machine translation. In particular, the course demonstrates the development of computer programs that can understand, generate, translate, extract information from, and learn natural language in textual form from difference sources like webpages, books, newspapers, etc. In addition, the pros and cons of several techniques are highlighted with an emphasis on contrasting conventional and recent techniques.
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