2022
DOI: 10.48550/arxiv.2205.11631
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Towards Opening the Black Box of Neural Machine Translation: Source and Target Interpretations of the Transformer

Abstract: In Neural Machine Translation (NMT), each token prediction is conditioned on the source sentence and the target prefix (what has been previously translated at a decoding step). However, previous work on interpretability in NMT has focused solely on source sentence tokens attributions. Therefore, we lack a full understanding of the influences of every input token (source sentence and target prefix) in the model predictions. In this work, we propose an interpretability method that tracks complete input token att… Show more

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