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INT344 Units

NATURAL LANGUAGE PROCESSING

INT344 3 Credits L:2 T:0 P:1

This course covers the fundamentals of Natural Language Processing, including linguistic components, text preprocessing, and vector space models. Students explore probabilistic models, deep learning architectures such as RNNs and Transformers, and develop end-to-end systems for applications like chatbots and machine translation.

Study Units

1

Unit 1

View Notes Practice MCQ
2

Unit 2

View Notes Practice MCQ
3

Unit 3

View Notes Practice MCQ
4

Unit 4

View Notes Practice MCQ
5

Unit 5

View Notes Practice MCQ
6

Unit 6

View Notes Practice MCQ

Continuous Assessment

Project 50%
Test 50%

Exams & Practice

Mid Term Examination

Mid-semester comprehensive evaluation

20%

All MCQ

Coming Soon

End Term Examination

Final semester comprehensive evaluation

50%

Type: Examination

All MCQ

Coming Soon

Quick Navigation for INT344

Unit 1 Notes Unit 2 Notes Unit 3 Notes Unit 4 Notes Unit 5 Notes

INT344 - FAQs

How many units are in INT344?

INT344 has 6 units. Each unit includes detailed notes and MCQ practice questions.

What exam resources are available for INT344?

Unit-wise notes and MCQ practice are available. Exam resources coming soon.

How to prepare for INT344 exams?

Study each unit's notes thoroughly, practice MCQs to test understanding, and attempt mock tests before exams. Focus on important topics and previous year questions.