This page covers:
- Slides of the first two lectures. They cover:
- Course organization and goals
- What is Natural Language Processing?
- Why is it hard and why use probabilistic modeling / machine learning?
- some required reading from Jurafsky and Martin
- a quiz that tests your understanding of the material presented here (to appear soon).
Please do the required reading, and attempt the quiz after the second lecture. If there is anything you don't understand, then you can ask questions in the lecture or on piazza.
Lecture slides and reading
J&M, 2nd edition, chapter 1
Quiz 1-2: Why NLP is hard?
These questions are designed to test your understanding of the above course content; doing this quiz does not contribute to your overall grade. Some questions require a text answer. The answer should be short, at most 3 sentences each. You can ask for formative feedback on these from your tutor or on piazza. Other questions are multiple choice or they require a numeric answer: you will get immediate feedback for these. Please don't attempt this quiz until you have acquainted yourself with this lecture and the required reading.
Note that you need to be logged into Learn to do this quiz.