Problem 5 – using Python for language detection

In this section, we’ll dive into the Multinomial Naive Bayes classifier, a handy tool often used in NLP in machine learning, especially for tasks such as language detection.

Language detectors, such as the ones found in tools such as Google Translate, play a crucial role in bridging language gaps and enabling global communication. These systems rely on Naive Bayes classifiers, which are known for their efficiency in handling large text datasets and their accuracy in dealing with the complexities of languages. Their simplicity and speed make them a top choice for real-time language detection and translation:

Figure 18.11: Google Translate

The simplicity and speed of Naive Bayes algorithms make them ideal for real-time language detection and translation in applications such as Google Translate.

This classifier is based on Bayes’ theorem and operates under the assumption that features...