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Computer Science > Computation and Language

arXiv:1802.05092 (cs)
[Submitted on 14 Feb 2018]

Title:Linguistic unit discovery from multi-modal inputs in unwritten languages: Summary of the "Speaking Rosetta" JSALT 2017 Workshop

Authors:Odette Scharenborg, Laurent Besacier, Alan Black, Mark Hasegawa-Johnson, Florian Metze, Graham Neubig, Sebastian Stueker, Pierre Godard, Markus Mueller, Lucas Ondel, Shruti Palaskar, Philip Arthur, Francesco Ciannella, Mingxing Du, Elin Larsen, Danny Merkx, Rachid Riad, Liming Wang, Emmanuel Dupoux
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Abstract:We summarize the accomplishments of a multi-disciplinary workshop exploring the computational and scientific issues surrounding the discovery of linguistic units (subwords and words) in a language without orthography. We study the replacement of orthographic transcriptions by images and/or translated text in a well-resourced language to help unsupervised discovery from raw speech.
Comments: Accepted to ICASSP 2018
Subjects: Computation and Language (cs.CL)
Cite as: arXiv:1802.05092 [cs.CL]
  (or arXiv:1802.05092v1 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.1802.05092
arXiv-issued DOI via DataCite

Submission history

From: Laurent Besacier [view email]
[v1] Wed, 14 Feb 2018 13:46:03 UTC (354 KB)
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