Process / pipeline

Cross-lingual Text Analysis — Multilingual Representation

Cross-lingual text analysis lets you compare and analyse texts written in different languages within a shared vector space. Building on multilingual representation learning surveyed by Conneau et al. (2020) and Pires et al. (2019), it maps documents from several languages into one common embedding space so multilingual corpora can be studied together.

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Sources

  1. Conneau, A. et al. (2020). Unsupervised Cross-lingual Representation Learning at Scale. Proceedings of ACL. DOI: 10.18653/v1/2020.acl-main.747
  2. Pires, T., Schlinger, E. & Garrette, D. (2019). How Multilingual is Multilingual BERT? Proceedings of ACL. DOI: 10.18653/v1/P19-1493

Related methods

Referenced by

ScholarGateCross-lingual Text Analysis (Cross-lingual Text Analysis (Multilingual Representation Learning)). Retrieved 2026-06-04 from https://scholargate.app/en/text-mining/cross-lingual-analysis