# 410252(A): Natural Language Processing

This repository consolidates all essential resources for the NLP subject from the SPPU 2019 pattern. It includes previous year question papers with solutions, implementation codes, assignment handouts, and comprehensive write-ups organized to help students grasp fundamental NLP concepts, language modeling, morphology, syntax, semantics, and real-world applications. It serves as a one-stop reference for exam preparation, project work, and practical coding practice in natural language processing.

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## Index

### Notes

### Codes

### Practical

1. [Practical-1](Practical/Practical-1/)
2. [Practical-2](Practical/Practical-2/)
3. [Practical-3](Practical/Practical-3/)
4. [Practical-4](Practical/Practical-4/)
5. [Practical-5](Practical/Practical-5/)
6. [Mini Project](Practical/NLP%20-%20Mini%20Project%20-%20Handout.docx)

### Question Papers

- [IN-SEM](Question%20Papers/IN-SEM)
- [END-SEM](Question%20Papers/END-SEM)

### [IN-SEM PYQ Answers](Notes/IN-SEM%20PYQ%20Answers/)

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## Miscellaneous

**-> Disclaimer:** Please read the [DISCLAIMER](DISCLAIMER.md) file for important information regarding the contents of this repository.

**-> Note:** Content such as codes, softcopies, write-ups and question papers is provided by us, i.e. our contributors. You are free to use this content however you wish, without any restrictions. Some of the notes and handouts have been provided by our professors, thus to use them for anything other than educational purposes, please contact them.

**-> Maintained by:**
- [notkshitij](https://git.kska.io/notkshitij)
- [TanmaySpamzzz](https://git.kska.io/TanmaySpamzzz)

**->** Repository icon from [Flaticon](https://www.flaticon.com).

**-> Motto:**

![Making information freely accessible to everyone.](motto.jpg)

**-> Keywords:**

SPPU, Savitribai Phule Pune University, Pune University, Computer Engineering, COMP, Fourth Year, Final Year, BE, Semester 8, SEM-8, Notes, Codes, Practical work, Handouts, Assignments, PYQs, NLP, natural language processing, PYQ solutions, NLP codes, write-ups, language modelling, morphology, syntax, semantics, information retrieval, machine translation,

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