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• W950939656 abstract "Coactive learning describes the interaction between an online structured learner and a human user who corrects the learner by responding with weak feedback, that is, with an improved, but not necessarily optimal, structure. We apply this framework to discriminative learning in interactive machine translation. We present a generalization to latent variable models and give regret and generalization bounds for online learning with a feedback-based latent perceptron. We show experimentally that learning from weak feedback in machine translation leads to convergence in regret and translation error." @default.
• W950939656 created "2016-06-24" @default.
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• W950939656 date "2015-01-01" @default.
• W950939656 modified "2023-09-26" @default.
• W950939656 title "Coactive learning for interactive machine translation" @default.
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• W950939656 hasPublicationYear "2015" @default.
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