mlsanityData to 14 Oct 2026

Code-Switching and Syntax: A Large-Scale Experiment

arXiv 2506.01846 ↗First posted 2 Jun 2025cs.CLcited by 3

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Abstract (arXiv)

The theoretical code-switching (CS) literature provides numerous pointwise investigations that aim to explain patterns in CS, i.e. why bilinguals switch language in certain positions in a sentence more often than in others. A resulting consensus is that CS can be explained by the syntax of the contributing languages. There is however no large-scale, multi-language, cross-phenomena experiment that tests this claim. When designing such an experiment, we need to make sure that the system that is predicting where bilinguals tend to switch has access only to syntactic information. We provide such an experiment here. Results show that syntax alone is sufficient for an automatic system to distinguish between sentences in minimal pairs of CS, to the same degree as bilingual humans. Furthermore, the learnt syntactic patterns generalise well to unseen language pairs.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 8 of its 26 references that are in the map. First posted on arXiv 2 Jun 2025.

Builds on

8 of 26 references.

References · 8

  1. 2017Graph Attention Networkscited by 8,923
  2. 2018How Powerful are Graph Neural Networks?cited by 4,393
  3. 2019Unsupervised Cross-lingual Representation Learning at Scalecited by 3,935
  4. 2019Strategies for Pre-training Graph Neural Networkscited by 971
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  7. 2023MADLAD-400: A Multilingual And Document-Level Large Audited Datasetcited by 181
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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 1; 2026: 2.

3 papers.