ScholarGate
Msaidizi
Process / pipeline

Tafsiri ya Mashine

Tafsiri ya mashine (MT) ni kazi ya uchakataji lugha asilia ambayo hubadilisha kiotomatiki maandishi katika lugha moja kwenda lugha nyingine. MT ya kisasa imejengwa juu ya mifumo ya neva ya mlolongo-kwa-mlolongo — utaratibu wa umakini ulioanzishwa na Bahdanau et al. (2015) na usanifu wa transformer wa Vaswani et al. (2017) — na inapanua ufikiaji wa vyanzo kwa uchambuzi na utafiti wa data ya lugha nyingi.

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Kwa wanachama pekee

Ingia kwa akaunti ya bure ili kusoma sehemu hii.

Ingia

Method map

The neighbourhood of related methods — select a node to explore.

Vyanzo

  1. Bahdanau, D., Cho, K. & Bengio, Y. (2015). Neural Machine Translation by Jointly Learning to Align and Translate. International Conference on Learning Representations (ICLR). link
  2. Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, L. & Polosukhin, I. (2017). Attention Is All You Need. Advances in Neural Information Processing Systems (NeurIPS). link

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 1). Machine Translation. ScholarGate. https://scholargate.app/sw/text-mining/machine-translation

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

Compare side by side

Imerejelewa na

ScholarGateMachine Translation (Machine Translation). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/text-mining/machine-translation · Seti ya data: https://doi.org/10.5281/zenodo.20539026