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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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Abstract:
Adapter modules were recently introduced as an efficient alternative to fine-tuning in NLP. Adapter tuning consists in freezing pretrained parameters of a model and injecting lightweight modules between layers, resulting in the addition of only a small number of task-specific trainable parameters. While adapter tuning was investigated for multilingual neural machine translation, this paper proposes a comprehensive analysis of adapters for multilingual speech translation (ST). Starting from different pre-trained models (a multilingual ST trained on parallel data or a multilingual BART (mBART) trained on non-parallel multilingual data), we show that adapters can be used to: (a) efficiently specialize ST to specific language pairs with a low extra cost in terms of parameters, and (b) transfer from an automatic speech recognition (ASR) task and an mBART pre-trained model to a multilingual ST task. Experiments show that adapter tuning offer competitive results to full fine-tuning, while being much more ... : Accepted at ACL-IJCNLP 2021 ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://arxiv.org/abs/2106.01463 https://dx.doi.org/10.48550/arxiv.2106.01463
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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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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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