HMMSegment

Pure HMM-based segmentation using Viterbi decoding.

Strategy: Models Chinese text as a Hidden Markov Model with 4 states:

• B — Begin of word
• E — End of word
• M — Middle of word
• S — Single-character word

Uses the HMM model file (hmm_model.utf8) for initial state probabilities, transition probabilities, and emission probabilities.