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1
Segmentation en mots faiblement supervisée pour la documentation automatique des langues
In: https://hal.archives-ouvertes.fr/hal-03477475 ; 2021 (2021)
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2
Do Multilingual Neural Machine Translation Models Contain Language Pair Specific Attention Heads? ...
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3
Lightweight Adapter Tuning for Multilingual Speech Translation ...
Le, Hang; Pino, Juan; Wang, Changhan. - : arXiv, 2021
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4
Multilingual Unsupervised Neural Machine Translation with Denoising Adapters ...
Abstract: We consider the problem of multilingual unsupervised machine translation, translating to and from languages that only have monolingual data by using auxiliary parallel language pairs. For this problem the standard procedure so far to leverage the monolingual data is back-translation, which is computationally costly and hard to tune. In this paper we propose instead to use denoising adapters, adapter layers with a denoising objective, on top of pre-trained mBART-50. In addition to the modularity and flexibility of such an approach we show that the resulting translations are on-par with back-translating as measured by BLEU, and furthermore it allows adding unseen languages incrementally. ... : Accepted as a long paper to EMNLP 2021 ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.2110.10472
https://arxiv.org/abs/2110.10472
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5
Unsupervised Word Segmentation from Discrete Speech Units in Low-Resource Settings ...
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6
User-friendly automatic transcription of low-resource languages: Plugging ESPnet into Elpis
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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7
A Data Efficient End-To-End Spoken Language Understanding Architecture ...
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8
Catplayinginthesnow: Impact of Prior Segmentation on a Model of Visually Grounded Speech ...
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9
Investigating Language Impact in Bilingual Approaches for Computational Language Documentation ...
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10
Controlling Utterance Length in NMT-based Word Segmentation with Attention ...
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11
MaSS - Multilingual corpus of Sentence-aligned Spoken utterances ...
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12
MaSS - Multilingual corpus of Sentence-aligned Spoken utterances ...
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13
How Does Language Influence Documentation Workflow? Unsupervised Word Discovery Using Translations in Multiple Languages ...
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14
Word Recognition, Competition, and Activation in a Model of Visually Grounded Speech ...
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15
Models of Visually Grounded Speech Signal Pay Attention To Nouns: a Bilingual Experiment on English and Japanese ...
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16
Synthetically Spoken STAIR ...
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17
Synthetically Spoken STAIR ...
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18
Linguistic unit discovery from multi-modal inputs in unwritten languages: Summary of the "Speaking Rosetta" JSALT 2017 Workshop ...
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19
Unsupervised Word Segmentation from Speech with Attention ...
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20
SPEECH-COCO ...
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