Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Online Course

Natural Language Processing

Columbia University via Coursera

573

Taken this course? Share your experience with other students. Write review

Overview

Natural language processing (NLP) deals with the application of computational models to text or speech data. Application areas within NLP include automatic (machine) translation between languages; dialogue systems, which allow a human to interact with a machine using natural language; and information extraction, where the goal is to transform unstructured text into structured (database) representations that can be searched and browsed in flexible ways. NLP technologies are having a dramatic impact on the way people interact with computers, on the way people interact with each other through the use of language, and on the way people access the vast amount of linguistic data now in electronic form. From a scientific viewpoint, NLP involves fundamental questions of how to structure formal models (for example statistical models) of natural language phenomena, and of how to design algorithms that implement these models.

In this course you will study mathematical and computational models of language, and the application of these models to key problems in natural language processing. The course has a focus on machine learning methods, which are widely used in modern NLP systems: we will cover formalisms such as hidden Markov models, probabilistic context-free grammars, log-linear models, and statistical models for machine translation. The curriculum closely follows a course currently taught by Professor Collins at Columbia University, and previously taught at MIT.

Syllabus

Topics covered include:

1. Language modeling.
2. Hidden Markov models, and tagging problems.
3. Probabilistic context-free grammars, and the parsing problem.
4. Statistical approaches to machine translation.
5. Log-linear models, and their application to NLP problems.
6. Unsupervised and semi-supervised learning in NLP.

Taught by

Michael Collins

Help Center

Most commonly asked questions about Coursera

Reviews for Coursera's Natural Language Processing Based on 7 reviews

  • 5 stars 57%
  • 4 stars 43%
  • 3 star 0%
  • 2 star 0%
  • 1 star 0%

Did you take this course? Share your experience with other students.

Write a review
  • 1
Charlie C
6 years ago
by Charlie completed this course, spending 1 hours a week on it and found the course difficulty to be very hard.
Dr. Michael Collins is well-renowned in the world of NLP. The course is quite technical but pretty comprehensive, covering many types of statistical algorithms in NLP that form the basis for many of the exciting advances in machine translation.

Dr. Collins is very clear & thorough in his explanations, and if you want to understand the math (probability) behind this, then this course is for you. Even through auditing (and not working through the math) I was able to grasp of quite a few things regarding different algorithms, and Prof. Collins also comments on how things were done in the past and what is currently state-of-the-art. I'm not sure how this compares to other NLP MOOCs (there are at least 1 or 2 others), but I would have preferred a higher-level conceptual course.
3 people found
this review helpful
Was this review helpful to you? Yes
Krassimir K
5 years ago
Krassimir completed this course.
The course gives an introduction to the various types of modern statistical models used in natural language processing, including tagging, named entity recognition and machine translation. Interesting and challenging programming assignments, which help the student to understand clearly the theory. Excellent lecturer!

It might turn out to be time-consuming, in particular for people who have never been exposed to related topics like machine learning / AI.
Read Full Review
1 person found
this review helpful
Was this review helpful to you? Yes
Rey C
4 years ago
by Rey completed this course and found the course difficulty to be hard.
Was this review helpful to you? Yes
Michael A
4 years ago
by Michael completed this course.
Was this review helpful to you? Yes
Saliel F
3 years ago
Saliel completed this course.
Was this review helpful to you? Yes
Colin K
4 years ago
by Colin completed this course.
Was this review helpful to you? Yes
Christopher P
3 years ago
by Christopher completed this course.
Was this review helpful to you? Yes
  • 1

Class Central

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free

Never stop learning Never Stop Learning!

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free