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Machine learningDeep learning / NLP / CV

Uundaji wa Mada Wenye Lugha Nyingi

Uundaji wa mada wenye lugha nyingi huendeleza mifumo ya mada ya uwezekano kama vile LDA kwa makusanyo yanayohusu lugha mbili au zaidi, ikitambua mada zilizofichwa zinazoshirikiwa kuvuka mipaka ya lugha. Kwa kufungamanisha usambazaji wa mada katika lugha, huwezesha uchanganuzi wa hati unaovuka lugha, ugunduzi wa mada unaolinganishwa, na utafutaji wa habari bila kuhitaji makusanyo kamili sambamba.

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Vyanzo

  1. Mimno, D., Wallach, H. M., Naradowsky, J., Smith, D. A., & McCallum, A. (2009). Polylingual topic models. In Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 880–889. ACL. link
  2. Vulić, I., De Smet, W., & Moens, M.-F. (2015). Monolingual and cross-lingual information retrieval models based on (bilingual) word embeddings. In Proceedings of SIGIR 2015, pp. 363–372. ACM. link

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Multilingual Topic Modeling (Cross-lingual Latent Topic Inference). ScholarGate. https://scholargate.app/sw/deep-learning/multilingual-topic-modeling

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ScholarGateMultilingual topic modeling (Multilingual Topic Modeling (Cross-lingual Latent Topic Inference)). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/deep-learning/multilingual-topic-modeling · Seti ya data: https://doi.org/10.5281/zenodo.20539026