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Bilingual Lexicon Induction with Semi-supervision in Non-Isometric Embedding Spaces ...
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Generalization in Generation: A closer look at Exposure Bias
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In: Proceedings of the 3rd Workshop on Neural Generation and Translation (2019)
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Attention-Passing Models for Robust and Data-Efficient End-to-End Speech Translation
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In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 313-325 (2019) (2019)
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Linguistic unit discovery from multi-modal inputs in unwritten languages: Summary of the “Speaking rosetta” JSALT 2017 workshop
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In: ICASSP 2018 - IEEE International Conference on Acoustics, Speech and Signal Processing ; https://hal.archives-ouvertes.fr/hal-01709578 ; ICASSP 2018 - IEEE International Conference on Acoustics, Speech and Signal Processing, Apr 2018, Calgary, Alberta, Canada (2018)
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Evaluating phonemic transcription of low-resource tonal languages for language documentation
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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)
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Integrating automatic transcription into the language documentation workflow: Experiments with Na data and the Persephone toolkit
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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)
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Abstract:
International audience ; Automatic speech recognition tools have potential for facilitating language documentation, but in practice these tools remain little-used by linguists for a variety of reasons, such as that the technology is still new (and evolving rapidly), user-friendly interfaces are still under development, and case studies demonstrating the practical usefulness of automatic recognition in a low-resource setting remain few. This article reports on a success story in integrating automatic transcription into the language documentation workflow, specifically for Yongning Na, a language of Southwest China. Using PERSEPHONE, an open-source toolkit, a single-speaker speech transcription tool was trained over five hours of manually transcribed speech. The experiments found that this method can achieve a remarkably low error rate (on the order of 17%), and that automatic transcriptions were useful as a canvas for the linguist. The present report is intended for linguists with little or no knowledge of speech processing. It aims to provide insights into (i) the way the tool operates and (ii) the process of collaborating with natural language processing specialists. Practical recommendations are offered on how to anticipate the requirements of this type of technology from the early stages of data collection in the field.
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Keyword:
[SHS.LANGUE]Humanities and Social Sciences/Linguistics; automatic speech recognition; automatic speech transcription; endangered languages; interdisciplinarity; language documentation; multimedia corpora; natural language processing; open access; open-source software; sound archive
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URL: https://halshs.archives-ouvertes.fr/halshs-01841979v2/document https://halshs.archives-ouvertes.fr/halshs-01841979v2/file/AutomaticTranscription_Persephone_LDC2018.pdf https://halshs.archives-ouvertes.fr/halshs-01841979
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Adapting Word Embeddings to New Languages with Morphological and Phonological Subword Representations ...
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Parameter Sharing Methods for Multilingual Self-Attentional Translation Models ...
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Towards a General-Purpose Linguistic Annotation Backend ...
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Multi-Source Neural Machine Translation with Missing Data ...
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Rapid Adaptation of Neural Machine Translation to New Languages ...
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Findings of the Second Workshop on Neural Machine Translation and Generation ...
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Linguistic unit discovery from multi-modal inputs in unwritten languages: Summary of the "Speaking Rosetta" JSALT 2017 Workshop ...
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Attentive Interaction Model: Modeling Changes in View in Argumentation ...
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Neural Cross-Lingual Named Entity Recognition with Minimal Resources ...
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Zero-shot Neural Transfer for Cross-lingual Entity Linking ...
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Neural Factor Graph Models for Cross-lingual Morphological Tagging ...
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