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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 Page: 1 2 3 4 5...29 Hits 1 – 20 of 571 1 Relating the past, present & future: Archiving language collections Heaton, Raina; O'Hagan, Zachary; Seyfeddinipur, Mandana. - 2021 BASE Show details 2 A vocabulary of the Kilene dialect as spoken at Sag-Sag, New Britain. ... Thieberger, Nick. - : PARADISEC, 2020 BASE Show details 3 NT14-VOCAB-DialectBewa.csv ... Thieberger, Nick. - : PARADISEC, 2020 BASE Show details 4 NT14-VOCAB-DialectMaal.csv ... Thieberger, Nick. - : PARADISEC, 2020 BASE Show details 5 Natus Nalag, hymn book in Nafsan Nick Thieberger. - 2019 BASE Show details 6 Supplementary materials (data citation) for paper 'Phonetic evidence for phonotactic change in Nafsan (South Efate)' (Italian Journal of Linguistics) ... Billington, Rosey; Thieberger, Nick; Fletcher, Janet. - : Zenodo, 2019 BASE Show details 7 Supplementary materials (data citation) for paper 'Phonetic evidence for phonotactic change in Nafsan (South Efate)' (Italian Journal of Linguistics) ... Billington, Rosey; Thieberger, Nick; Fletcher, Janet. - : Zenodo, 2019 BASE Show details 8 Habiltuality in four Oceanic languages of Melanesia von Prince, Lilu; Krajinovic, Ana; Margetts, Anna. - : Akademie Verlag, 2019 BASE Show details 9 Public access to research data in language documentation: Challenges and possible strategies Seyfeddinipur, Mandana; Ameka, Felix; Bolton, Lissant. - : University of Hawaii Press, 2019 BASE Show details 10 Public access to research data in language documentation: Challenges and possible strategies Seyfeddinipur, Mandana; Ameka, Felix; Bolton, Lissant. - : University of Hawaii Press, 2019 BASE Show details 11 Public access to research data in language documentation: Challenges and possible strategies Seyfeddinipur, Mandana; Ameka, Felix; Bolton, Lissant. - : UNIV HAWAII PRESS, 2019 BASE Show details 12 Glossopticon : visualising archival data Burrell, Andrew; Hendery, Rachel (R17913); Thieberger, Nick. - : US, IEEE, 2019 BASE Show details 13 Waka Taylor singing the Wanji Wanji song Nick Thieberger; Desmond Taylor; Waka Taylor. - 2018 BASE Show details 14 Comparative Wordlist Prompts For Australian Languages ... Thieberger, Nick. - : Zenodo, 2018 BASE Show details 15 Comparative Wordlist Prompts For Australian Languages ... Thieberger, Nick. - : Zenodo, 2018 BASE Show details 16 Supplementary materials (data citation) for paper 'Phonetic evidence for phonotactic change in Nafsan (South Efate)' (Italian Journal of Linguistics) ... Billington, Rosey; Thieberger, Nick; Fletcher, Janet. - : Zenodo, 2018 BASE Show details 17 Reflections on software and technology for language documentation Arkhipov, Alexandre; Thieberger, Nick. - : University of Hawai'i Press, 2018 BASE Show details 18 Reflections on software and technology for language documentation Arkhipov, Alexandre; Thieberger, Nick. - : University of Hawai'i Press, 2018 BASE Show details 19 Unlocking the archives Barwick, Linda; Thieberger, Nick In: http://www.usyd.edu.au/disclaimer.shtml (2018) BASE Show details 20 Building speech recognition systems for language documentation : the CoEDL Endangered Language Pipeline and Inference System (ELPIS) Foley, Ben; Arnold, Josh; Coto-Solano, Rolando; Durantin, Gautier; Ellison, T. Mark; Esch, Daan van; Heath, Scott; Kratochvil, Frantiseck; Maxwell-Smith, Zara; Nash, David; Olsson, Ola; Richards, Mark B. (R20004); San, Nay; Stoakes, Hywel; Thieberger, Nick; Wiles, Janet. - : France, International Speech Communication Association, 2018 Abstract: Machine learning has revolutionized speech technologies for major world languages, but these technologies have generally not been available for the roughly 4,000 languages with populations of fewer than 10,000 speakers. This paper describes the development of ELPIS, a pipeline which language documentation workers with minimal computational experience can use to build their own speech recognition models, resulting in models being built for 16 languages from the Asia-Pacific region. ELPIS puts machine learning speech technologies within reach of people working with languages with scarce data, in a scalable way. This is impactful since it enables language communities to cross the digital divide, and speeds up language documentation. Complete automation of the process is not feasible for languages with small quantities of data and potentially large vocabularies. Hence our goal is not full automation, but rather to make a practical and effective workflow that integrates machine learning technologies. Keyword: 200402 - Computational Linguistics; automatic speech recognition; endangered languages URL: https://doi.org/10.21437/SLTU.2018-43 https://www.isca-speech.org/archive/SLTU_2018/abstracts/Ben.html https://hdl.handle.net/1959.7/uws:56189 BASE Hide details Page: 1 2 3 4 5...29

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