Natural Language Processing II
Tutorial description: (appropriate for the registrar's permanent record)
Continued study of Natural Language Processing, following Stanford University's online NLP course at http://www.nlp-class.org
What exactly do you want to study?
Be as explicit as you can, including a schedule if possible.
The Tutorial will follow Stanford's course which starts January 23rd. Material will expand on work done in "NLP I" last semester, as well as additional topics that we didn't cover.
How does this relate to your plan and/or other course work?
I am writing my Plan on Computational Linguistics, with a focus on Computer Assisted Translation, and possibly Computer Assisted Language Learning.
Hopefully, as a part of this course I can begin exploring Computer Assisted Translation (Machine Translation), which is tending more and more to use statistical approaches to translation.
What resources have you identified?
(e.g. books, articles, websites, experience, ...)
- "Speech and Language Processing" (Jurafsky and Martin)
- "Foundations of Statistical Natural Language Processing" (Manning and Schütze)
- Other texts recommended or required by NLP-Class.org.
What will be the gradeable products, and on what schedule?
(e.g. projects, programs, papers, tests, ...)
Assignments as per the Stanford course schedule: (from the FAQ)
About 2 hours of video segments each week, containing inline ungraded quiz questions
Weekly graded multiple choice or short answer exercises.
A substantial weekly homework (usually a programming project).
As well as others determined in Tutorial.
In addition, a final personal progress assessment will be written at the end of the semester.
I chose to propose this Tutorial for low credit because a lot of it is building off of (possibly even repeating) what we did last semester.