hmm-pos-tagging-transition

Summary

This records the pivot where part-of-speech labeling moved from hand-written grammar rules to probability models learned from data, establishing that linguistic structure could be captured statistically rather than enumerated by rule. It matters because that assumption — that language decisions can be made by learned probabilities rather than explicit rules — underpins virtually every downstream approach in modern NLP, from parsing to machine translation.