MarkLogic 12 EA 2 Product Documentation

spell.suggestDetailed

spell.suggestDetailed(
   dictionary_uris as String[],
   word as String,
   [options as Object?]
) as Array

Summary

Suggests a list of spellings for a word. Returns an array of objects describing each suggestion, including the suggested word, the distance, the key distance, the word distance, and the levenshtein distance. You can use this extra information to make your own decisions about which suggestions to use. If you do not want to use this information, use the spell.suggest function instead.

Usage Notes

This function only provides suggestions to words that are less than 256 characters in length; words 256 characters or longer return no suggestions. Also, it removes any dictionary entries that are 256 characters or more, so it will never return a suggestion with greater than 256 characters.

The keyDistance and wordDistance values in the output are used by the double metaphone algorithm to calculate the distance, which is a weighted number indicating how close a word is to the one in the dictionary.

If there are no suggestions, this function returns an empty array.

Example

// Assume you create a dictionary as follows, with the URI "two-words.json":

declareUpdate();
const spell = require('/MarkLogic/spell');
spell.insert('two-words.json', {words: ['albatross','albatrosses']});

// ---------------------------------------------------------
// After installation, use the dictionary to generate suggestions as
// follows:

spell.suggestDetailed(
  'two-words.json', 'albetros',
  { maximum: 5, distanceThreshold: 500 }
);

// Returns an array of suggestion objects of the following form:
//
// [ { "original": "albetros", 
//     "word": "albatross", 
//     "dictionary": "two-words.json", 
//     "distance": 26, 
//     "keyDistance": 0, 
//     "wordDistance": 95, 
//     "levenshteinDistance": 2
//   },{
//     "original": "albetros", 
//     "word": "albatrosses", 
//     "dictionary": "two-words.json", 
//     "distance": 76, 
//     "keyDistance": 1, 
//     "wordDistance": 185, 
//     "levenshteinDistance": 4
//  } ]