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Machine learningDeep learning / NLP / CV

Uulizaji Maswali wa Lugha Nyingi

Uulizaji maswali wa lugha nyingi (QA) huwezesha modeli kusoma kifungu na kujibu maswali katika lugha nyingi, mara nyingi kwa kurekebisha transformer iliyefunzwa awali ya lugha mtambuka kama vile mBERT au XLM-R kwenye seti ya data ya QA iliyoandikwa katika lugha moja na kuhamisha uwezo huo bila mafunzo ya awali (zero-shot) au kwa mafunzo machache (few-shot) kwa lugha zingine. Huu ndio mkabala wa kawaida wa kujenga mifumo ya uelewa wa kusoma wa lugha nyingi na mifumo ya QA ya kikoa huria.

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Vyanzo

  1. Artetxe, M., Ruder, S., & Yogatama, D. (2020). On the cross-lingual transferability of monolingual representations. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (pp. 4623–4637). ACL. DOI: 10.18653/v1/2020.acl-main.421
  2. Clark, J. H., Choi, E., Collins, M., Garrette, D., Kwiatkowski, T., Nikolaev, V., & Palomaki, J. (2020). TyDi QA: A benchmark for information-seeking question answering in typologically diverse languages. Transactions of the Association for Computational Linguistics, 8, 454–470. link

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Multilingual Question Answering (Cross-lingual MRC). ScholarGate. https://scholargate.app/sw/deep-learning/multilingual-question-answering

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Imerejelewa na

ScholarGateMultilingual question answering (Multilingual Question Answering (Cross-lingual MRC)). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/deep-learning/multilingual-question-answering · Seti ya data: https://doi.org/10.5281/zenodo.20539026