PyDA Course
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Advanced ⏱ 50 min 📖 2 Lessons

Module 3: Bigram Probability Tables

Build and normalize bigram count tables that map each word to the words that follow it.

bigramsprobabilitynested-dictconditionalnlp

Lessons

1
Building Bigram Tables Count consecutive word pairs into a nested dictionary that maps each word to its follower distribution.
Advanced ⏱ 25 min ⚡ +100 XP
→ 2
Normalizing Bigram Counts Convert raw bigram counts into probability distributions that sum to 1.0 for each word.
Advanced ⏱ 25 min ⚡ +100 XP
→
Tokenization & Word Frequency The generate_text() Function