The final lesson runs the whole tool on a real multi-line passage - train a dictionary, ignore a name, check the text, and print a full report with line, column, and ranked suggestions for every misspelling.
Run the complete checker over a multi-line passage and produce the exact human-readable report.
This is the promise the whole project was built to keep: a real, runnable spell
checker. Give it a passage and it finds every word it does not recognize, points
at each by line and column, and offers the words you most likely meant - skipping
the name you told it to ignore and every word it already knows. quikc, jumpd,
and teh are caught and corrected; Zaphod, brown, fox, and the rest pass
untouched.
Every layer is doing its job at once. The tokenizer finds the words and their places, membership decides which are suspect, the BK-tree index finds each typo’s neighbors, frequency ranks them, case-matching and formatting make the output readable. From an empty word set that answered “unknown” you have built the honest core of a spell checker - Norvig’s edit-distance correction over a metric-tree index - the same design that sits inside the tools you use every day, minus the context and grammar models they layer on top. That is a real tool, and it is yours.
// 1. build the dictionary (AddAll the vocabulary, or TrainFrom text)// 2. checker := NewChecker(dict); checker.Ignore("Zaphod")// 3. for _, issue := range checker.Check(passage):// fmt.Println(FormatIssue(issue))// each Issue already carries line, column, and top suggestions