同时，我们提出了一种新颖、实用的训练语料标注方案，这使得隐马尔科夫模型在音乐实体识别上变得实际可行。
Meanwhile, a novel and convenient training corpus tagging method was proposed, which made Hidden Markov Model practically usable in Musical Entity Recognition.
我们的思维被训练成始终保持分析，实用和汇聚性，所以这个步骤很难做到，但是它至关重要。
We have been trained to be so instantly analytic, practical, convergent in our thinking that this step is very difficult to observe, but it is crucial.
这种明显的反应使得这种特殊的训练方法相当实用。
It's this obvious response that makes this particular training method so useful.
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