Investigating the effect of auxiliary objectives for the automated grading of learner English speech transcriptions

ACL 2020 Hannah CraigheadAndrew CainesPaula ButteryHelen Yannakoudakis

We address the task of automatically grading the language proficiency of spontaneous speech based on textual features from automatic speech recognition transcripts. Motivated by recent advances in multi-task learning, we develop neural networks trained in a multi-task fashion that learn to predict the proficiency level of non-native English speakers by taking advantage of inductive transfer between the main task (grading) and auxiliary prediction tasks: morpho-syntactic labeling, language modeling, and native language identification (L1)... (read more)

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