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How to create data structure for dictionary and spell checker?
A Naive way is to take the given word and generate all words which are 1 distance (1 edit or 1 delete or 1 replace) away and one by one look them in dictionary. If nothing found, then look for all words which are 2 distant and so on.
Can you put all words in spell checker?
The answer depends upon the functionalists required in Spell Checker and availability of memory. For example following are few possibilities. Hashing is one simple option for this. We can put all words in a hash table.
Which is the best algorithm for spell check?
If nothing found, then look for all words which are 2 distant and so on. There are many complex algorithms for this. As per the wiki page, The most successful algorithm to date is Andrew Golding and Dan Roth’s Window-based spelling correction algorithm. See this for a simple spell checker implementation.
What do you need to know about hashing in Dictionary?
Hashing doesn’t support operations like prefix search. Prefix search is something where a user types a prefix and your dictionary shows all words starting with that prefix. Hashing also doesn’t support efficient printing of all words in dictionary in alphabetical order and nearest neighbor search.
Which is the best way to search for words in a dictionary?
Hashing is one simple option for this. We can put all words in a hash table. Refer this paper which compares hashing with self-balancing Binary Search Trees and Skip List, and shows that hashing performs better. Hashing doesn’t support operations like prefix search.
How to calculate the closest word in Dictionary?
The closest word can be defined as the word that can be obtained with minimum number of character transformations (add, delete, replace). A Naive way is to take the given word and generate all words which are 1 distance (1 edit or 1 delete or 1 replace) away and one by one look them in dictionary.
Can you spell more than two high frequency words?
None of the four students could spell more than two of the words accurately. All four students had difficulty reading those words when they were mixed into lists with other high-frequency words. (Indeed, they were having difficulty reading all the high-frequency words in the lists.)