UCF CAP 6640 NLP — Lecture 02-AI: Historical Evolution and Core Tasks in NLP (Fall 2026) скачать в хорошем качестве

UCF CAP 6640 NLP — Lecture 02-AI: Historical Evolution and Core Tasks in NLP (Fall 2026)

Course: CAP 6640 – Natural Language Processing Institution: University of Central Florida (UCF) Semester: Fall 2026 Lecture: 02 – Historical Evolution and Core Tasks in NLP Instructor: David Mohaisen Original contents, narrated by XTTS-V2.0 and conditioned with a sample of D. Mohaisen's voice. Description: This lecture introduces the foundations of Natural Language Processing by tracing the historical evolution of the field and formalizing its core challenges and tasks. It reviews the major phases of NLP development, from early rule-based systems and symbolic linguistics to statistical modeling, deep learning, and modern transformer-based architectures. The lecture explains why natural language understanding is fundamentally difficult, emphasizing ambiguity, implicit meaning, and the need for world knowledge. It then presents the main categories of NLP tasks, including syntactic, semantic, and pragmatic analysis, and contrasts natural languages with formal programming languages. The lecture concludes by discussing how computers represent and reason about meaning, highlighting resources such as WordNet and their limitations. Chapters 0:00 Intro and course logistics 2:55 Historical background 17:00 Why is NLP hard? 21:00 NLP tasks and their types 35:35 Computer vs. natural languages 39:21 Usable meanings in computers