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Segmentation en mots faiblement supervisée pour la documentation automatique des langues
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In: https://hal.archives-ouvertes.fr/hal-03477475 ; 2021 (2021)
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Do Multilingual Neural Machine Translation Models Contain Language Pair Specific Attention Heads? ...
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Lightweight Adapter Tuning for Multilingual Speech Translation ...
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Multilingual Unsupervised Neural Machine Translation with Denoising Adapters ...
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Unsupervised Word Segmentation from Discrete Speech Units in Low-Resource Settings ...
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User-friendly automatic transcription of low-resource languages: Plugging ESPnet into Elpis
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In: ComputEL-4: Fourth Workshop on the Use of Computational Methods in the Study of Endangered Languages ; https://halshs.archives-ouvertes.fr/halshs-03030529 ; 2020 ; https://computel-workshop.org/ (2020)
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A Data Efficient End-To-End Spoken Language Understanding Architecture ...
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Catplayinginthesnow: Impact of Prior Segmentation on a Model of Visually Grounded Speech ...
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Investigating Language Impact in Bilingual Approaches for Computational Language Documentation ...
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Controlling Utterance Length in NMT-based Word Segmentation with Attention ...
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MaSS - Multilingual corpus of Sentence-aligned Spoken utterances ...
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MaSS - Multilingual corpus of Sentence-aligned Spoken utterances ...
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How Does Language Influence Documentation Workflow? Unsupervised Word Discovery Using Translations in Multiple Languages ...
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Word Recognition, Competition, and Activation in a Model of Visually Grounded Speech ...
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Models of Visually Grounded Speech Signal Pay Attention To Nouns: a Bilingual Experiment on English and Japanese ...
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Abstract:
We investigate the behaviour of attention in neural models of visually grounded speech trained on two languages: English and Japanese. Experimental results show that attention focuses on nouns and this behaviour holds true for two very typologically different languages. We also draw parallels between artificial neural attention and human attention and show that neural attention focuses on word endings as it has been theorised for human attention. Finally, we investigate how two visually grounded monolingual models can be used to perform cross-lingual speech-to-speech retrieval. For both languages, the enriched bilingual (speech-image) corpora with part-of-speech tags and forced alignments are distributed to the community for reproducible research. ... : 5 pages, 3 figures, accepted at ICASSP2019 ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://arxiv.org/abs/1902.03052 https://dx.doi.org/10.48550/arxiv.1902.03052
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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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Unsupervised Word Segmentation from Speech with Attention ...
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