mlsanityData to 14 Oct 2026

T-Modules: Translation Modules for Zero-Shot Cross-Modal Machine Translation

arXiv 2205.12216 ↗First posted 24 May 2022cs.CLcited by 16

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Abstract (arXiv)

We present a new approach to perform zero-shot cross-modal transfer between speech and text for translation tasks. Multilingual speech and text are encoded in a joint fixed-size representation space. Then, we compare different approaches to decode these multimodal and multilingual fixed-size representations, enabling zero-shot translation between languages and modalities. All our models are trained without the need of cross-modal labeled translation data. Despite a fixed-size representation, we achieve very competitive results on several text and speech translation tasks. In particular, we significantly improve the state-of-the-art for zero-shot speech translation on Must-C. Incorporating a speech decoder in our framework, we introduce the first results for zero-shot direct speech-to-speech and text-to-speech translation.

Key facts. Cited by 16 papers in the map (data through 14 Oct 2026). Builds on 39 of its 49 references that are in the map. First posted on arXiv 24 May 2022.

Builds on

39 of 49 references.

References · 39

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  2. 2020wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representationscited by 3,905
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27 more
  1. 2018Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyondcited by 434
  2. 2022DeepNet: Scaling Transformers to 1,000 Layerscited by 178
  3. 2019CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEBcited by 177
  4. 2021Direct speech-to-speech translation with discrete unitscited by 149
  5. 2017Sequence-to-Sequence Models Can Directly Translate Foreign Speechcited by 121
  6. 2021Textless Speech-to-Speech Translation on Real Datacited by 121
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  10. 2021The Multilingual TEDx Corpus for Speech Recognition and Translationcited by 101
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  12. 2019The Missing Ingredient in Zero-Shot Neural Machine Translationcited by 59
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  15. 2021Stacked Acoustic-and-Textual Encoding: Integrating the Pre-trained Models into Speech Translation Encoderscited by 48
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  18. 2020Multilingual Machine Translation: Closing the Gap between Shared and Language-specific Encoder-Decoderscited by 23
  19. 2018Multilingual NMT with a language-independent attention bridgecited by 20
  20. 2017Towards speech-to-text translation without speech recognitioncited by 11
  21. 2020Enabling Zero-shot Multilingual Spoken Language Translation with Language-Specific Encoders and Decoderscited by 10
  22. 2020Training Multilingual Machine Translation by Alternately Freezing Language-Specific Encoders-Decoderscited by 8
  23. 2019Towards Interlingua Neural Machine Translationcited by 5
  24. 2021Zero-shot Speech Translationcited by 5
  25. 2022Tackling data scarcity in speech translation using zero-shot multilingual machine translation techniquescited by 4
  26. 2021Improving Zero-shot Neural Machine Translation on Language-specific Encoders-Decoderscited by 3
  27. 2022Triangular Transfer: Freezing the Pivot for Triangular Machine Translationcited by 2

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Citing papers per year: 2022: 2; 2023: 6; 2024: 6; 2025: 2.

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