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In natural language processing, connectionist temporal classification refers to a training objective that lets a recurrent network label unsegmented sequences by summing over all alignments between input frames and output labels. This meaning comes from Graves (2006) in Proceedings of the 23rd international conference on Machine learning - ICML '06.[1]
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