On the Complexity and Typology of Inflectional Morphological Systems
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Abstract (arXiv)
We quantify the linguistic complexity of different languages' morphological systems. We verify that there is an empirical trade-off between paradigm size and irregularity: a language's inflectional paradigms may be either large in size or highly irregular, but never both. Our methodology measures paradigm irregularity as the entropy of the surface realization of a paradigm -- how hard it is to jointly predict all the surface forms of a paradigm. We estimate this by a variational approximation. Our measurements are taken on large morphological paradigms from 31 typologically diverse languages.
Key facts. Cited by 15 papers in the map (data through 7 Oct 2026). First posted on arXiv 8 Jul 2018.
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Citing papers per year: 2021: 3; 2022: 4; 2023: 1; 2024: 3; 2025: 1; 2026: 3.
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- 2022What do tokens know about their characters and how do they know it?cited by 36
- 2021A surprisal--duration trade-off across and within the world's languagescited by 22
- 2024Evaluating Morphological Compositional Generalization in Large Language Modelscited by 16
- 2022Estimating the Entropy of Linguistic Distributionscited by 11
- 2022Using Linguistic Typology to Enrich Multilingual Lexicons: the Case of Lexical Gaps in Kinshipcited by 9
- 2021A Massively Multilingual Analysis of Cross-linguality in Shared Embedding Spacecited by 8
- 2022What do complexity measures measure? Correlating and validating corpus-based measures of morphological complexitycited by 8
- 2021Modeling the Unigram Distributioncited by 7
- 2023Colexifications for Bootstrapping Cross-lingual Datasets: The Case of Phonology, Concreteness, and Affectivenesscited by 2
- 2024The natural stability of autonomous morphologycited by 1
- 2025Complexity counts: global and local perspectives on Indo-Aryan numeral systemscited by 1
- 2026Systematicity between Forms and Meanings across Languages Supports Efficient Communicationcited by 1
3 more
- 2026Assessing the Impact of Typological Features on Multilingual Machine Translation in the Age of Large Language Modelscited by 1
- 2024Patterns of Persistence and Diffusibility across the World's Languagescited by 0
- 2026Measuring language complexity from hierarchical reuse of recurring patternscited by 0
- 2026Measuring language complexity from hierarchical reuse of recurring patterns10 Jun 2026
- 2026Assessing the Impact of Typological Features on Multilingual Machine Translation in the Age of Large Language Models3 Feb 2026
- 2026Systematicity between Forms and Meanings across Languages Supports Efficient Communication23 Jan 2026
- 2025Complexity counts: global and local perspectives on Indo-Aryan numeral systems19 May 2025
- 2024The natural stability of autonomous morphology6 Nov 2024
- 2024Evaluating Morphological Compositional Generalization in Large Language Models16 Oct 2024
- 2024Patterns of Persistence and Diffusibility across the World's Languages3 Jan 2024
- 2023Colexifications for Bootstrapping Cross-lingual Datasets: The Case of Phonology, Concreteness, and Affectiveness5 Jun 2023
- 2022What do tokens know about their characters and how do they know it?6 Jun 2022
- 2022What do complexity measures measure? Correlating and validating corpus-based measures of morphological complexity11 Apr 2022
- 2022Using Linguistic Typology to Enrich Multilingual Lexicons: the Case of Lexical Gaps in Kinship11 Apr 2022
- 2022Estimating the Entropy of Linguistic Distributions4 Apr 2022
3 more
- 2022What do tokens know about their characters and how do they know it?cited by 36
- 2021A surprisal--duration trade-off across and within the world's languagescited by 22
- 2024Evaluating Morphological Compositional Generalization in Large Language Modelscited by 16
- 2022Estimating the Entropy of Linguistic Distributionscited by 11
- 2022Using Linguistic Typology to Enrich Multilingual Lexicons: the Case of Lexical Gaps in Kinshipcited by 9
- 2021A Massively Multilingual Analysis of Cross-linguality in Shared Embedding Spacecited by 8
- 2022What do complexity measures measure? Correlating and validating corpus-based measures of morphological complexitycited by 8
- 2021Modeling the Unigram Distributioncited by 7
- 2023Colexifications for Bootstrapping Cross-lingual Datasets: The Case of Phonology, Concreteness, and Affectivenesscited by 2
- 2024The natural stability of autonomous morphologycited by 1
- 2025Complexity counts: global and local perspectives on Indo-Aryan numeral systemscited by 1
- 2026Systematicity between Forms and Meanings across Languages Supports Efficient Communicationcited by 1
12 most cited of 15 All 15 (JSON)
- 2026Measuring language complexity from hierarchical reuse of recurring patterns10 Jun 2026
- 2026Assessing the Impact of Typological Features on Multilingual Machine Translation in the Age of Large Language Models3 Feb 2026
- 2026Systematicity between Forms and Meanings across Languages Supports Efficient Communication23 Jan 2026
- 2025Complexity counts: global and local perspectives on Indo-Aryan numeral systems19 May 2025
- 2024The natural stability of autonomous morphology6 Nov 2024
- 2024Evaluating Morphological Compositional Generalization in Large Language Models16 Oct 2024
- 2024Patterns of Persistence and Diffusibility across the World's Languages3 Jan 2024
- 2023Colexifications for Bootstrapping Cross-lingual Datasets: The Case of Phonology, Concreteness, and Affectiveness5 Jun 2023
- 2022What do tokens know about their characters and how do they know it?6 Jun 2022
- 2022What do complexity measures measure? Correlating and validating corpus-based measures of morphological complexity11 Apr 2022
- 2022Using Linguistic Typology to Enrich Multilingual Lexicons: the Case of Lexical Gaps in Kinship11 Apr 2022
- 2022Estimating the Entropy of Linguistic Distributions4 Apr 2022
12 newest of 15 All 15 (JSON)