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Bigram Probability Calculator

EasyLanguage Modeling

Given a corpus of text, compute bigram probabilities.

A bigram probability is P(word2 | word1) = count(word1, word2) / count(word1).

Input format:

Line 1: The training corpus (single line of text, lowercase)
Line 2: The bigram to query (two words separated by space)

Round the probability to 4 decimal places.

Output: The bigram probability as a float.

Example:

Input:

the cat sat on the mat
the cat

Output:

0.5

Reasoning:

Step 1: Count bigrams starting with "the" "the cat" appears 1 time "the mat" appears 1 time Total: "the" appears 2 times as first word of a bigram

Step 2: Calculate probability P(cat | the) = count("the cat") / count("the") = 1 / 2 = 0.5

Constraints:

All text is lowercase
Bigram probability = count(bigram) / count(first word)
Round to 4 decimal places
If the first word never appears, output 0.0

Editor

Python 3.13.1

Test Results

0/0

Run code to see test results.