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What do complexity measures measure? Correlating and validating corpus-based measures of morphological complexity

arXiv 2204.05056 ↗First posted 11 Apr 2022cs.CLcited by 8

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Abstract (arXiv)

We present an analysis of eight measures used for quantifying morphological complexity of natural languages. The measures we study are corpus-based measures of morphological complexity with varying requirements for corpus annotation. We present similarities and differences between these measures visually and through correlation analyses, as well as their relation to the relevant typological variables. Our analysis focuses on whether these `measures' are measures of the same underlying variable, or whether they measure more than one dimension of morphological complexity. The principal component analysis indicates that the first principal component explains 92.62 % of the variation in eight measures, indicating a strong linear dependence between the complexity measures studied.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 4 of its 61 references that are in the map. First posted on arXiv 11 Apr 2022.

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4 of 61 references.

References · 4

  1. 2019The SIGMORPHON 2019 Shared Task: Morphological Analysis in Context and Cross-Lingual Transfer for Inflectioncited by 43
  2. 2018The CoNLL--SIGMORPHON 2018 Shared Task: Universal Morphological Reinflectioncited by 41
  3. 2018On the Complexity and Typology of Inflectional Morphological Systemscited by 15
  4. 2016The statistical trade-off between word order and word structure - large-scale evidence for the principle of least effortcited by 8

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 1; 2023: 0; 2024: 2; 2025: 3; 2026: 2.

8 papers.

  1. 2025Confounding Factors in Relating Model Performance to Morphologycited by 14
  2. 2022DivEMT: Neural Machine Translation Post-Editing Effort Across Typologically Diverse Languagescited by 11
  3. 2024A Morphology-Based Investigation of Positional Encodingscited by 4
  4. 2024Killkan: The Automatic Speech Recognition Dataset for Kichwa with Morphosyntactic Informationcited by 3
  5. 2025Annotating and Inferring Compositional Structures in Numeral Systems Across Languagescited by 2
  6. 2026Assessing the Impact of Typological Features on Multilingual Machine Translation in the Age of Large Language Modelscited by 1
  7. 2025The Model's Language Matters: A Comparative Privacy Analysis of LLMscited by 0
  8. 2026Measuring language complexity from hierarchical reuse of recurring patternscited by 0