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Answers are provided to Baidu's written examination questions circulating on the Internet. However, the words of the family are biased.
Question:
Errors often occur when users enter English words. We need to correct them. Suppose there is already a dictionary containing correct English words. Please design a spelling correction program.
(1) Describe your solution to this problem;
(2) provide the main proc
Users can use the spelling and grammar feature in Word2013 to check the spelling or grammatical errors of words that exist in Word2013 documents, and to set spelling correction options to make spelling and grammar checking more appropriate for their actual needs. To set
Spelling correction example:
The problem is that the user has entered a word that is not in the dictionary. We need to guess: "What is the word that this guy really wants to input?
P (we guess the word he wants to input | the word he actually entered)
The words actually entered by the user are marked as D (d Indicates data, that is, observation data)
1: P (H1 | D), 2: P (H2 | D), 3: P (H1 | D )...Unified
Recently, we have been looking at Bayesian algorithms. This algorithm has been applied in many aspects, including spelling check, text classification, spam filtering, and Chinese word segmentation. Based on your needs, you can decide to implement the first two types of spelling checks.
Program:
For more information about Bayesian
Test interview series --- Sorting Algorithm album --- Bubble Sorting --- incorrect answer correction, algorithm ---Original answer:
# Include
Train of Thought Analysis: Compare the size of adjacent images one by one from the sequence header, and obtain the maximum or minimum number at the end of the sequence. Then compare the remaining n-1 numbers one by one acc
First say what the Hamming algorithm is.No original documents have been checked, so the original definitions and proofs have not been seen. According to the The Hamming algorithm can establish a correction code for any length of memory (note that it is not only possible to verify errors, but also to correct them). The principle is as follows:Assuming that the ori
Issue background
In a multi-view video system, the same scene is filmed with multiple cameras. However, because of the different characteristic parameters between cameras, there is a problem with color consistency (color consistency) and color consistency (color constancy). Because the color sense is the subjective feeling of people, it is not easy to quantify the comparison. So this only solves the problem of color inconsistency.As shown, there is a problem of color inconsistency between the
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