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Creators/Authors contains: "Wang, Xinsheng"

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  1. ; ; ; ; (, ICASSP)
    null (Ed.)
    Multimodal word discovery (MWD) is often treated as a byproduct of the speech-to-image retrieval problem. However, our theoretical analysis shows that some kind of alignment/attention mechanism is crucial for a MWD system to learn meaningful word-level representation. We verify our theory by conducting retrieval and word discovery experiments on MSCOCO and Flickr8k, and empirically demonstrate that both neural MT with self-attention and statistical MT achieve word discovery scores that are superior to those of a state-of-the-art neural retrieval system, outperforming it by 2% and5% alignment F1 scores respectively. 
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  2. ; ; ; ; ; ; ; ; ; ; et al (, Pos proceedings of science)
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