Tokenizer unigram tutorial encode_word function question
HiI just finish reading this tutorial on Unigram.huggingface.coUnigram tokenization - Hugging Face NLP CourseWe’re on a journey to advance and democratize artificial intelligence through open source and open science.And I have a question about this line in functionencode_word()best_segmentations = [{"start": 0, "score": 1}] + [
        {"start": None, "score": None} for _ in range(len(word))
    ]As per my understanding, the score inside dictionary of the first list should be log(1) not 1 ???Because in this linescore = model[token] + best_score_at_startwe are summing the log of probability.So I suspect that[{"start": 0, "score": 1}]should be[{"start": 0, "score": 0}]Can someone clarify me this matter?Thanks