Details of CS4101 (Autumn 2021)
| Level: 4 | Type: Theory | Credits: 4.0 |
| Course Code | Course Name | Instructor(s) |
|---|---|---|
| CS4101 | Natural Language Processing | Dwaipayan Roy, Kripabandhu Ghosh |
| Preamble |
|---|
| This course is offered by NPTEL. Instructors listed here are the co-ordinators.
Find more about the course here: https://nptel.ac.in/noc/courses/noc19/SEM2/noc19-cs56/ |
| Syllabus |
|---|
| Enrolment: A student has to enrol him/herself in the course and should also opt for the course in the Welearn portal. Following are the dates for enrolling in the NPTEL portal.
Course start date: 26 July, 2021 Course end date: 15 October, 2021 Exam date: 23 October, 2021 Enrollment ends: ongoing, until 02 Aug 2021 Check here: https://nptel.ac.in/noc/courses/noc19/SEM2/noc19-cs56/ Examination: The course will contain assignments as well as end sem evaluation which will be conducted by NPTEL. The student has to register separately for the exam and write the proctored exam conducted by NPTEL in person at any of the designated exam centres. In case there is a delay or cancellation of the exam, the department of CDS will conduct the exam. NPTEL will make the announcement regarding the commencement of registration for the examination. The online registration form has to be filled and the certification exam fee needs to be paid (by the candidate). More details will be made available by NPTEL when the exam registration form is published in the NPTEL course website. If there are any changes, they will be mentioned then. Please check the form for more details on the cities where the exams will be held, the conditions you agree to when you fill the form etc. (details available here: https://onlinecourses.nptel.ac.in/noc21_cs102/preview). Supplementary examination: In case a student fails in the course, there will be a provision for appearing for a supplementary exam which will be conducted by the department of CDS. Exam registration fees payment: to be paid by the student. |
| Prerequisite |
|---|
| Basic knowledge of probabilities for the lectures and python for programming assignment |
| References |
|---|
| .1. Dan Jurafsky and James Martin. Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics and Speech Recognition. Prentice Hall, Second Edition, 2009.
Some draft chapters of the third edition are available online: https://web.stanford.edu/~jurafsky/slp3/ 2. Chris Manning and Hinrich Schtze. Foundations of Statistical Natural Language Processing. MIT Press, Cambridge, MA: May 1999. |
Course Credit Options
| Sl. No. | Programme | Semester No | Course Choice |
|---|---|---|---|
| 1 | IP | 1 | Not Allowed |
| 2 | IP | 3 | Elective |
| 3 | IP | 5 | Elective |
| 4 | MR | 1 | Not Allowed |
| 5 | MR | 3 | Not Allowed |
| 6 | MS | 3 | Not Allowed |
| 7 | MS | 5 | Elective |
| 8 | MS | 7 | Elective |
| 9 | MS | 9 | Elective |
| 10 | RS | 1 | Elective |
| 11 | RS | 2 | Elective |