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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 3 of 3 1 Controlling Utterance Length in NMT-based Word Segmentation with Attention ... Godard, Pierre; Besacier, Laurent; Yvon, Francois. - : arXiv, 2019 BASE Show details 2 Linguistic unit discovery from multi-modal inputs in unwritten languages: Summary of the "Speaking Rosetta" JSALT 2017 Workshop ... Scharenborg, Odette; Besacier, Laurent; Black, Alan. - : arXiv, 2018 BASE Show details 3 Unsupervised Word Segmentation from Speech with Attention ... Godard, Pierre; Zanon-Boito, Marcely; Ondel, Lucas; Berard, Alexandre; Yvon, François; Villavicencio, Aline; Besacier, Laurent. - : arXiv, 2018 Abstract: We present a first attempt to perform attentional word segmentation directly from the speech signal, with the final goal to automatically identify lexical units in a low-resource, unwritten language (UL). Our methodology assumes a pairing between recordings in the UL with translations in a well-resourced language. It uses Acoustic Unit Discovery (AUD) to convert speech into a sequence of pseudo-phones that is segmented using neural soft-alignments produced by a neural machine translation model. Evaluation uses an actual Bantu UL, Mboshi; comparisons to monolingual and bilingual baselines illustrate the potential of attentional word segmentation for language documentation. ... : Interspeech 2018 ... Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.1806.06734 https://arxiv.org/abs/1806.06734 BASE Hide details

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