상황
A developer needs to implement or explain HMM-based part-of-speech tagging for a sentence.
이 도면에 담긴 내용
그 이면의 의사결정을 읽어 보세요.
01
Use Viterbi dynamic programming to find the most probable tag sequence
02
Iterate over words and states to fill probability matrix and backpointers
03
Backtrack from the final state to retrieve the optimal POS tags
Use when designing, teaching, or debugging HMM sequence labeling tasks such as POS tagging, named entity recognition, or other decoder pipelines.