Verb Detection in English Sentences

This project is a simple Python implementation that detects verbs in English sentences. It uses basic linguistic rules and natural language processing (NLP) techniques to identify verbs within the input text.

This code's Features:

• Detects verbs in a sentence.
• Processes multiple sentences.
• Provides a simple and efficient approach to basic verb recognition.

How It Works: The code identifies verbs by leveraging:

• Tokenization of sentences into words.
• Tagging each word with its respective part of speech (POS).
• Extracting words tagged as verbs.

How to Install it:

1. Clone the repository:

   git clone https://github.com/yourusername/verb-detection.git

2. Install the required dependencies:

   pip install -r requirements.txt

What is its Usage:

1. Run the script:

   python verb_detection.py

2. Input your sentences and the program will output the detected verbs.

Example

Input:

The dog is running in the park.

Output:

Detected verb: running

Future Improvements

• Support for different verb tenses and forms.
• Improved accuracy by handling complex sentence structures.
• Adding low-resource languages.