How word association mining is generalization of n-gram language model

Question

I am working on text mining (reading book...) author said word association mining is actually the generalization of n-gram language model Can you please tell how word association mining is generalization of n-gram language model. For Me word association mining is finding symptomatic relation (finding co-occurring) words and n-gram language model is compare all n-words in query to suggest or return relevant documents.

Answer 1

Association rule mining will try to cover frequent concurrences of arbitrary length.

If you apply this (not just two term correlations) to text, you would indeed find n-grams without a fixed n.