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Msaidizi
Machine learningDeep learning / NLP / CV

Muundo wa Kuenea kwa Lugha Nyingi

Muundo wa Kuenea kwa Lugha Nyingi unarekebisha mfumo wa kuondoa kelele wa kuenea kwa uwezekano ili kufanya kazi katika lugha nyingi, kuwezesha utengenezaji wa maandishi baina ya lugha, tafsiri, na usanisi wa maudhui ambao hauna uhusiano na lugha. Kwa kuunganisha kwenye uwakilishi wa lugha nyingi, mchakato wa kuenea hujifunza nafasi ya pamoja ya siri ambayo inashughulikia mipaka ya lugha, ikitoa matokeo ya ubora wa juu kwa lugha za rasilimali kidogo na nyingi sawa.

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Vyanzo

  1. Ho, J., Jain, A., & Abbeel, P. (2020). Denoising Diffusion Probabilistic Models. Advances in Neural Information Processing Systems (NeurIPS), 33, 6840–6851. link
  2. Gong, S., Li, M., Feng, J., Wu, Z., & Kong, L. (2023). DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models. International Conference on Learning Representations (ICLR). link

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Multilingual Diffusion Model for Text and Cross-Lingual Generation. ScholarGate. https://scholargate.app/sw/deep-learning/multilingual-diffusion-model

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ScholarGateMultilingual Diffusion Model (Multilingual Diffusion Model for Text and Cross-Lingual Generation). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/deep-learning/multilingual-diffusion-model · Seti ya data: https://doi.org/10.5281/zenodo.20539026