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@electrineer many thanks :)
it's going well right now, I can visualize the word graph in .dot format using yEd Graph Editor. The hard part now is to find all possible sentences containing a specific word. I'm really baffled by how complex sentences actually are, and how we can understand them so quickly.
Writing algorithms on graphs is really crazy 😂
Currently working on a distributional semantics database or something like that. The goal is to read natural language texts and construct a graph of words, with directed edges containing the relative distances between them. Then I want to enter one or more words and find all of the possible words which could be used before, after or in between those words, simply based on the previously learned texts. Then I want to find words which are used in similar contexts and build a kind of dictionary that way.
The end goal is to use this to define software or other states and procedures, using natural language.
What do you think of this idea? Can you imagine it being feasable for its purpose? What are your thoughts?
rant
idea
natural language processing