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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 6 Hits 101 – 116 of 116 101 Integrating automatic transcription into the language documentation workflow: Experiments with Na data and the Persephone toolkit Michaud, Alexis; Adams, Oliver; Cohn, Trevor... In: ISSN: 1934-5275 ; EISSN: 1934-5275 ; Language Documentation & Conservation ; https://halshs.archives-ouvertes.fr/halshs-01841979 ; Language Documentation & Conservation, University of Hawaiʻi Press 2018, 12, pp.393-429 ; hdl.handle.net/10125/24793 (2018) BASE Show details 102 Evaluating phonemic transcription of low-resource tonal languages for language documentation Adams, Oliver; Cohn, Trevor; Neubig, Graham; Cruz, Hilaria; Bird, Steven; Michaud, Alexis In: LREC 2018 (Language Resources and Evaluation Conference) ; https://halshs.archives-ouvertes.fr/halshs-01709648 ; LREC 2018 (Language Resources and Evaluation Conference), May 2018, Miyazaki, Japan. pp.3356-3365 (2018) Abstract: International audience ; Transcribing speech is an important part of language documentation, yet speech recognition technology has not been widely harnessed to aid linguists. We explore the use of a neural network architecture with the connectionist temporal classification loss function for phonemic and tonal transcription in a language documentation setting. In this framework, we explore jointly modelling phonemes and tones versus modelling them separately, and assess the importance of pitch information versus phonemic context for tonal prediction. Experiments on two tonal languages, Yongning Na and Eastern Chatino, show the changes in recognition performance as training data is scaled from 10 minutes up to 50 minutes for Chatino, and up to 224 minutes for Na. We discuss the findings from incorporating this technology into the linguistic workflow for documenting Yongning Na, which show the method's promise in improving efficiency, minimizing typographical errors, and maintaining the transcription's faithfulness to the acoustic signal, while highlighting phonetic and phonemic facts for linguistic consideration. Keyword: [SHS.LANGUE]Humanities and Social Sciences/Linguistics; Asian languages; language documentation; low-resource languages; Mesoamerican languages; speech recognition URL: https://halshs.archives-ouvertes.fr/halshs-01709648v4/document https://halshs.archives-ouvertes.fr/halshs-01709648 https://halshs.archives-ouvertes.fr/halshs-01709648v4/file/Adams_et_al2018_LREC.pdf BASE Hide details 103 Integrating Automatic Transcription into the Language Documentation Workflow: Experiments with Na Data and the Persephone Toolkit Michaud, Alexis; Adams, Oliver; Cohn, Trevor Anthony. - : University of Hawaii Press, 2018 BASE Show details 104 Integrating Automatic Transcription into the Language Documentation Workflow: Experiments with Na Data and the Persephone Toolkit Michaud, Alexis; Adams, Oliver; Cohn, Trevor Anthony. - : University of Hawaii Press, 2018 BASE Show details 105 Phonemic transcription of low-resource tonal languages Adams, Oliver; Cohn, Trevor; Neubig, Graham... In: ISSN: 1834-7037 ; Australasian Language Technology Association Workshop 2017 ; https://halshs.archives-ouvertes.fr/halshs-01656683 ; Australasian Language Technology Association Workshop 2017, Dec 2017, Brisbane, Australia. pp.53-60 (2017) BASE Show details 106 Learning Language Representations for Typology Prediction ... Malaviya, Chaitanya; Neubig, Graham; Littell, Patrick. - : arXiv, 2017 BASE Show details 107 CharManteau: Character Embedding Models For Portmanteau Creation ... Gangal, Varun; Jhamtani, Harsh; Neubig, Graham. - : arXiv, 2017 BASE Show details 108 Phonemic transcription of low-resource tonal languages Adams, Oliver; Cohn, Trevor; Neubig, Graham... In: ISSN: 1834-7037 ; Australasian Language Technology Association Workshop 2017 ; https://halshs.archives-ouvertes.fr/halshs-01656683 ; Australasian Language Technology Association Workshop 2017, Dec 2017, Brisbane, Australia. pp.53-60 (2017) BASE Show details 109 Neural Lattice-to-Sequence Models for Uncertain Inputs Sperber, Matthias; Neubig, Graham; Waibel, Alex. - : Association for Computational Linguistics, 2017 BASE Show details 110 Lexicons and Minimum Risk Training for Neural Machine Translation: NAIST-CMU at WAT2016 ... Neubig, Graham. - : arXiv, 2016 BASE Show details 111 Incorporating Discrete Translation Lexicons into Neural Machine Translation ... Arthur, Philip; Neubig, Graham; Nakamura, Satoshi. - : arXiv, 2016 BASE Show details 112 What Do Recurrent Neural Network Grammars Learn About Syntax? ... Kuncoro, Adhiguna; Ballesteros, Miguel; Kong, Lingpeng. - : arXiv, 2016 BASE Show details 113 Morphological Inflection Generation Using Character Sequence to Sequence Learning ... Faruqui, Manaal; Tsvetkov, Yulia; Neubig, Graham. - : arXiv, 2015 BASE Show details 114 Neural Reranking Improves Subjective Quality of Machine Translation: NAIST at WAT2015 ... Neubig, Graham; Morishita, Makoto; Nakamura, Satoshi. - : arXiv, 2015 BASE Show details 115 Substring-based machine translation Neubig, Graham; Watanabe, Taro; Mori, Shinsuke... In: Machine translation. - Dordrecht [u.a.] : Springer Science + Business Media 27 (2013) 2, 139-166 OLC Linguistik Show details 116 A monotonic statistical machine translation approach to speaking style transformation Kawahara, Tatsuya; Neubig, Graham; Akita, Yuya... In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 26 (2012) 5, 349-370 BLLDB OLC Linguistik Show details Page: 1 2 3 4 5 6

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