trigrams

Off the top of my head, Index only scans, overhauled GIN & GiST indices, Trigrams come to mind.

You can also start looking at bi, and trigrams (series of two or three words) and so on.

It looks like it is based on sets of bigrams and trigrams pulled from pages which they have indexed.

And that is precisely because trigrams can predict better --- they are even more redundant than bigrams.

Go through your text, counting the number of trigrams that didn't exist in the sample text.

You could try additional features such as word bigrams and trigrams and contain stop words.

Based on a 2-sec look at the code, it's using a built-in database of trigrams as a predictor of the language.

Although I suppose scoring maximum likelihood on bi- or trigrams works better for very small (sub-sentence) bits of text.

Someone should make a keyboard that assigns nice sounding intervals to the most common digrams/trigrams so that typing normal text produces better music.

A quick through the source also reveals wooorm/trigrams, and wooorm/udhr, as sources!

So, it's really a matter of generating bigrams and generating trigrams, which I think it's reasonable to have separate functions for.

No full-frequency data is kept, only 300 top-trigrams are identified.

Unless you mean something different with "trigram index" than indexing trigrams?

To select an example more or less at random, a book review that the actor Rob Lowe recently wrote for this newspaper contained nine trigrams such as “dumbed-down escapist fare” that had never before appeared anywhere in all the petabytes of text indexed by Google.

The Feelings On the other hand, if you have 0 background, it will be very difficult to master the tonality to perfection and the nuances of what "sounds right." For example, if you were really pedantic, you'd know that the appropriate pronunciation for the Eight Trigrams is not ba1 gua4 (as is commonly spoken) but ba2 gua4.