Natural language processing (NLP) is a branch of artificial intelligence that deals with analyzing, understanding, and generating natural language. NLP projects have a wide range of applications and are one of the most interesting areas of research in computer science.

In this article, we’ll be looking at some of the top NLP projects with source code for beginners. These projects are perfect for anyone who is just starting out with NLP and wants to get a feel for how it works. These projects are designed to help developers gain a better understanding of NLP and its applications. We hope that by reading through these projects, you will be able to enhance your knowledge of NLP and apply it to your own projects.

1. Chatbot: This project involves creating a bot that can have a conversation with a user. It can be used to provide customer service, answer questions, and carry out automated tasks. This project uses NLP and DL technologies to create a chatbot that can understand natural language and answer questions. The bot should be able to understand the user’s input and generate an appropriate response. This project requires knowledge of NLP techniques such as sentence segmentation, part-of-speech tagging, and parsing.

2. Text Summarization: This project involves creating a program that can summarize a given text. The program should be able to identify the important parts of the text and condense them into a concise summary. This project requires knowledge of NLP techniques such as sentence segmentation, part-of-speech tagging, and parsing.

3. Text Classification: This project involves creating a program that can classify a given text into different categories. The program should be able to identify the topics of the text and assign it to the relevant category. This project requires knowledge of NLP techniques such as sentiment analysis, topic modelling, and deep learning.

4. Speech Recognition: This project involves creating a program that can recognize spoken words and convert them into text. This project requires knowledge of NLP techniques such as language modelling, acoustic modelling, and speech recognition algorithms.

5. Machine Translation: This project involves creating a program that can translate text from one language to another. The program should be able to understand the source language and generate an accurate translation in the target language. This project requires knowledge of NLP techniques such as word alignment, phrase-based translation, and statistical machine translation.

6.  Text Translation: Text translation is the process of translating a text from one language to another. This project uses NLP and DL technologies to translate text from one language to another.

These are just a few of the top NLP projects with source code for beginners. With the right knowledge and skills, you can create your own NLP projects that can be used for various applications. So why not give it a try?