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Calculates the edit distance between two given words using a map of neighbors. Param word1: the first word. Param word2: the second word. Param neighbors: a map of neighbors for each word. Return the edit distance between the two words or 1 if no path is found.

Options:
a) findEditDistance(word1, word2, neighbors)
b) computeEditDistance(word1, word2, neighbors)
c) measureEditDistance(word1, word2, neighbors)
d) determineEditDistance(word1, word2, neighbors)

1 Answer

1 vote

Final answer:

The function name that best describes the action of finding the edit distance between two words using a map of neighbors is 'computeEditDistance'. This fits within computer science and specifically algorithms related to string and sequence processing.

Step-by-step explanation:

The task of finding the edit distance between two words using a map of neighbors belongs to the field of computer science, specifically to algorithms that process strings and sequences. This concept is often applied in the area of text processing and natural language processing.

In terms of coding function names, based on the options provided, the most suitable name that fits standard naming conventions for functions would likely be option b) computeEditDistance(word1, word2, neighbors). This option clearly describes the action the function will take - computing the edit distance - and specifies the parameters that the function will take: word1, word2, and neighbors.

If, however, we assume that 'computeEditDistance' is not just a theoretical function but actually needs to be implemented, then we should be ready to explore the mentioned map of neighbors that provides adjacency relationships between words and design an algorithm to calculate the minimum number of operations required to transform one word into another. The resulting distance is either the number of operations required or 1 if no path is found between the two words in the neighbors' graph.

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