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# Bigram-Language-Model | ||
A Bigram Language Model is trained for the training corpus with no-smoothing and add-one smoothing. For testing purpose, bigram counts, bigram probabilities for the test sentence along with the probability of test sentence under the trained model is printed to a text file. A detailed working explanation of code is documented in the program. | ||
A Bigram Language Model is trained for the training corpus with no-smoothing and add-one smoothing. For testing purpose, bigram counts, bigram probabilities for the test sentence along with the probability of test sentence under the trained model is printed to a text file. A detailed working explanation of code is documented in the program. The code is in Python. |