You are designing a spell-checking system for a word processing application. You need to efficiently store and retrieve a large dictionary of words with their associated data. Which data structure would you choose, and why?a)A binary search tree, because it ensures data is sorted alphabetically.b)An array, because it allows for constant-time lookups.c)A linked list, because it can efficiently manage collisions.d)A symbol table implemented as a hash table, because it provides fast lookups for a large dataset.
Question
You are designing a spell-checking system for a word processing application. You need to efficiently store and retrieve a large dictionary of words with their associated data. Which data structure would you choose, and why?a)A binary search tree, because it ensures data is sorted alphabetically.b)An array, because it allows for constant-time lookups.c)A linked list, because it can efficiently manage collisions.d)A symbol table implemented as a hash table, because it provides fast lookups for a large dataset.
Solution
d) A symbol table implemented as a hash table, because it provides fast lookups for a large dataset.
The reason for this is that hash tables are designed for efficient lookups. They use a hash function to map keys (in this case, words) to positions in an array. If the hash function is well-designed, it can provide near-constant time complexity for lookups, which means the time it takes to find a word does not significantly increase as the size of the dictionary increases. This makes it an ideal choice for a large dataset like a spell-checking dictionary.
On the other hand, binary search trees, arrays, and linked lists do not provide the same level of efficiency. Binary search trees do keep data sorted, but lookups can take longer if the tree becomes unbalanced. Arrays do allow for constant-time lookups, but only if you already know the index of the item you're looking for, which is not the case in a spell-checking system. Linked lists can manage collisions, but they are not as efficient for lookups as hash tables.
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