![]() When storing or looking up a word in the dictionary we want the match to be case insensitive. Instead of storing a percent, your program need only store the number of times the word appears in the text file. The dictionary will contain every word in the text file and a frequency for that word. ![]() Every time your program runs it will create the dictionary from this text file. The text file contains a large number of unsorted words. Our dictionary is generated using a large text file. Our spell checker will only validate a single word rather than each word in a list of words.įor this program we need a dictionary similar to Google’s. In this project you will create such a spell corrector. it is not found in the dictionary) Google suggests a “similar” word (“similar” will be defined later) whose frequency is larger or equal to any other “similar” word. To do this it associates with every word in the dictionary a frequency, the percent of the time that word is expected to appear in a large document. It not only checks against a dictionary, but, if it doesn’t find the keyword in the dictionary, it suggests a most likely replacement. ![]() Google provides a more powerful spell corrector for validating the keywords we type into the input text box. For most spell checkers, a candidate word is considered to be spelled correctly if it is found in a long list of valid words called a dictionary. Spelling Corrector Project Introduction You are familiar with spell checkers.
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