In machine learning, the term sequence labelling encompasses all tasks where sequences of data are transcribed with sequences of discrete labels. Wellknown examples include speech and handwriting recognition, protein secondary structure prediction and part-of-speech tagging. Supervised sequence labelling refers specifically to those cases where a set of hand-transcribed sequences is provided for algorithm training.
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