Yes, here are some tools and software that can help you visualize and explore the WordNet architecture:

NLTK: The Natural Language Toolkit (NLTK) is a popular Python library for natural language processing. It includes an interface to WordNet and provides functions for exploring and visualizing the synsets and semantic relationships in WordNet. You can use the nltk.corpus.wordnet module to access WordNet data, and the networkx library to plot and visualize the WordNet hierarchy.

WordNet Domains Visualizer: This is an online tool that allows you to visualize the hierarchical organization of WordNet synsets based on their domain categories. It provides an interactive visualization that lets you explore the various domains and subdomains of WordNet, and click on specific synsets to view their definitions and relationships.

Graphviz: Graphviz is a powerful open-source software for graph visualization, which can be used to generate diagrams and visualizations of the WordNet hierarchy. You can create a Graphviz file from the WordNet data using the nltk library and then use Graphviz to generate a PNG or PDF image of the hierarchy.

WordNet Explorer: This is a desktop application that provides an interactive interface for exploring and querying WordNet. It includes a graphical representation of the WordNet hierarchy and allows you to browse and search for specific synsets, lemmas, and semantic relationships. It also provides features such as word sense disambiguation and similarity queries.

These tools can help you gain a deeper understanding of the WordNet architecture and its semantic relationships. By exploring WordNet with these interactive visualization tools, you'll be able to see how words and concepts are related and organized, and how these relationships can be leveraged for various natural language processing tasks.