chrome-extensions-samples VS NLTK

You should be using the context menu API. You can check out some of the examples to have a better idea. This single file should get you all the info you need - context menu basic example.

Hell, I even included the fix for the broken Google Chrome chrome-extensions samples Python Native Messaging host in a PR I filed to update their sample https://github.com/GoogleChrome/chrome-extensions-samples/pull/617/commits/c26521ed60d6028dd73c84a2b726a1889b6616f7.

There are some examples here https://github.com/GoogleChrome/chrome-extensions-samples/issues/662 and here https://github.com/GoogleChrome/chrome-extensions-samples/issues/784.

What happens when you try to run this Native Messaging host application https://github.com/GoogleChrome/chrome-extensions-samples/blob/main/_archive/mv2/api/nativeMessaging/host/native-messaging-example-host on your current machine without modifying anything in the file or installing a package that links python to Python 2 and not Python 3?

Chrome Extension Examples - a collection of sample Chrome extensions to learn from

Another more involved challenge: Transfer (e.g., using Transferable objects) an ArrayBuffer from a ServiceWorker to an arbitrary Web page not controlled by or in the scope of the ServiceWorker - without using an element https://github.com/GoogleChrome/chrome-extensions-samples/issues/766.

You can use Native Messaging to connect to and communicate with a native host, e.g., Python, from JavaScript client in the browser, see https://github.com/GoogleChrome/chrome-extensions-samples/pull/617/commits/a06b4e37b7a095f845a321b0cd7adac5a3b41f02.

Take the time to carefully read this Google Chrome extension samples issue Sample: Transfer a blob from a background context to a page #766.

You can use declarativeNetRequest to remove content-security-policy for specific Web sites or all Web sites, see https://github.com/guest271314/remove-csp-header; https://github.com/GoogleChrome/chrome-extensions-samples/issues/662.

alternatively, could we not simply split by common characters such as newlines and periods, to split it within sentences? it would be fragile with special handling required for numbers with decimal points and probably various other edge cases, though.

there are also Python libraries meant for natural language parsing[0] that could do that task for us. I even see examples on stack overflow[1] that simply split text into sentences.

[0]: https://www.nltk.org/

Check out https://www.nltk.org/ and work through it, it'll give you a foundational understanding of how all this works, but very basically it's just a fancy auto-complete.

NLTK Documentation

If this is True, then you need also Natural Language Toolkit to process the words.

In that case, you should definitely have a look at Python's nltk library which stands for Natural Language Toolkit. They have a rich corpus collection for all kinds of specialized things like grammars, taggers, chunkers, etc.

If not, start with Python's Natural Language Toolkit.

Try https://www.nltk.org it runs you through the basics. The book is here

In terms of programming languages, Python is a great first programming language. the learnpython subreddit has lots of good recommendations for resources to get started. Once you're comfortable with the language, NLTK would be a good place to start, and the docs have heaps of examples. Check it out https://www.nltk.org/

The most popular library to do this is NLTK though I believe you can use some of the popular AI API services today as well. Bloomberg launched one.