ScholarGate
Msaidizi
Machine learningDeep learning / NLP / CV

Muhtasari wa Maandishi ya Lugha Nyingi

Ufupishaji wa maandishi ya lugha nyingi hutumia mifumo ya "encoder-decoder" ya lugha nyingi iliyefunzwa awali — kama vile mT5 au mBART — kutoa muhtasari mfupi wa hati zilizoandikwa kwa lugha nyingi, iwe ndani ya lugha moja (monolingual) au katika lugha tofauti (cross-lingual). Kurekebisha mifumo hii kwenye vigezo vya ufupishaji wa lugha nyingi kama XL-Sum huwezesha kufunika lugha nyingi kwa mfumo mmoja.

Fungua katika MethodMindHivi karibuniVideoHivi karibuniDownload slides

Soma mbinu kamili

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. Xue, L., Constant, N., Roberts, A., Kale, M., Al-Rfou, R., Siddhant, A., Barua, A., & Raffel, C. (2021). mT5: A Massively Multilingual Pre-Trained Text-to-Text Transformer. Proceedings of NAACL-HLT 2021, pp. 483–498. Association for Computational Linguistics. link
  2. Hasan, T., Bhattacharjee, A., Islam, M. S., Mubasshir, K., Li, Y.-F., Kang, Y.-B., Rahman, M. S., & Shahriyar, R. (2021). XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages. Findings of ACL-IJCNLP 2021, pp. 4693–4703. Association for Computational Linguistics. link

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Multilingual Text Summarization. ScholarGate. https://scholargate.app/sw/deep-learning/multilingual-text-summarization

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
ScholarGateMultilingual text summarization (Multilingual Text Summarization). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/deep-learning/multilingual-text-summarization · Seti ya data: https://doi.org/10.5281/zenodo.20539026