Grammatika is a powerful and versatile natural language processing (NLP) framework designed to address a wide range of NLP tasks with ease. It provides an intuitive and efficient platform for processing, analyzing, and extracting insights from textual data.

• Robust NLP Modules: Grammatika offers a comprehensive set of NLP modules, including part-of-speech tagging, syntactic parsing, named entity recognition, sentiment analysis, and more. These modules are designed to handle various linguistic complexities and provide accurate and reliable results.

• Extensible Architecture: The modular and extensible architecture of Grammatika egration of additional NLP functionalities and the incorporation of custom algorithms. You can enhance the framework's capabilities to meet your specific requirements and stay up-to-date with the latest advancements in the field.

• Efficient Model Training: Grammatika provides efficient model training capabilities, enabling you to train state-of-the-art machine learning and deep learning models on your own datasets. It supports popular model architectures like recurrent neural networks (RNNs), convolutional neural networks (CNNs), and transformer-based models such as BERT or GPT.

• Comprehensive Documentation: We have provided detailed documentation that guides you through the installation, usage, and customization of Grammatika. The documentation includes comprehensive examples, code snippets, and explanations to help you get started quickly and make the most of the framework's capabilities.