Morphological Irregularity Correlates with Frequency
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Abstract (arXiv)
We present a study of morphological irregularity. Following recent work, we define an information-theoretic measure of irregularity based on the predictability of forms in a language. Using a neural transduction model, we estimate this quantity for the forms in 28 languages. We first present several validatory and exploratory analyses of irregularity. We then show that our analyses provide evidence for a correlation between irregularity and frequency: higher frequency items are more likely to be irregular and irregular items are more likely be highly frequent. To our knowledge, this result is the first of its breadth and confirms longstanding proposals from the linguistics literature. The correlation is more robust when aggregated at the level of whole paradigms--providing support for models of linguistic structure in which inflected forms are unified by abstract underlying stems or lexemes. Code is available at https://github.com/shijie-wu/neural-transducer.
Key facts. Cited by 13 papers in the map (data through 13 Oct 2026). First posted on arXiv 27 Jun 2019.
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Citing papers per year: 2022: 2; 2023: 4; 2024: 1; 2025: 2; 2026: 4.
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- 2023An Information-Theoretic Analysis of Self-supervised Discrete Representations of Speechcited by 15
- 2024Tokenization and Morphology in Multilingual Language Models: A Comparative Analysis of mT5 and ByT5cited by 14
- 2023What makes a language easy to deep-learn? Deep neural networks and humans similarly benefit from compositional structurecited by 13
- 2022Estimating the Entropy of Linguistic Distributionscited by 11
- 2022Morphological Processing of Low-Resource Languages: Where We Are and What's Nextcited by 4
- 2023Information-Theoretic Characterization of Vowel Harmony: A Cross-Linguistic Study on Word Listscited by 4
- 2023Morphological Inflection: A Reality Checkcited by 2
- 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
- 2026When Irregularity Helps: A Subclass Analysis of Inductive Bias in Neural Morphologycited by 1
- 2025Discovering Properties of Inflectional Morphology in Neural Emergent Communicationcited by 0
- 2026How communicatively optimal are exact numeral systems? Once more on lexicon size and morphosyntactic complexitycited by 0
- 2026Not All Irregularity Is Equal: Causally Isolating a Rare Failure Mode in Japanese Morphological Inflection18 Sep 2026
- 2026When Irregularity Helps: A Subclass Analysis of Inductive Bias in Neural Morphology19 May 2026
- 2026How communicatively optimal are exact numeral systems? Once more on lexicon size and morphosyntactic complexity23 Feb 2026
- 2026Systematicity between Forms and Meanings across Languages Supports Efficient Communication23 Jan 2026
- 2025Discovering Properties of Inflectional Morphology in Neural Emergent Communication7 Aug 2025
- 2025Complexity counts: global and local perspectives on Indo-Aryan numeral systems19 May 2025
- 2024Tokenization and Morphology in Multilingual Language Models: A Comparative Analysis of mT5 and ByT515 Oct 2024
- 2023Information-Theoretic Characterization of Vowel Harmony: A Cross-Linguistic Study on Word Lists9 Aug 2023
- 2023An Information-Theoretic Analysis of Self-supervised Discrete Representations of Speech4 Jun 2023
- 2023Morphological Inflection: A Reality Check25 May 2023
- 2023What makes a language easy to deep-learn? Deep neural networks and humans similarly benefit from compositional structure23 Feb 2023
- 2022Estimating the Entropy of Linguistic Distributions4 Apr 2022
1 more
- 2023An Information-Theoretic Analysis of Self-supervised Discrete Representations of Speechcited by 15
- 2024Tokenization and Morphology in Multilingual Language Models: A Comparative Analysis of mT5 and ByT5cited by 14
- 2023What makes a language easy to deep-learn? Deep neural networks and humans similarly benefit from compositional structurecited by 13
- 2022Estimating the Entropy of Linguistic Distributionscited by 11
- 2022Morphological Processing of Low-Resource Languages: Where We Are and What's Nextcited by 4
- 2023Information-Theoretic Characterization of Vowel Harmony: A Cross-Linguistic Study on Word Listscited by 4
- 2023Morphological Inflection: A Reality Checkcited by 2
- 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
- 2026When Irregularity Helps: A Subclass Analysis of Inductive Bias in Neural Morphologycited by 1
- 2025Discovering Properties of Inflectional Morphology in Neural Emergent Communicationcited by 0
- 2026How communicatively optimal are exact numeral systems? Once more on lexicon size and morphosyntactic complexitycited by 0
12 most cited of 13 All 13 (JSON)
- 2026Not All Irregularity Is Equal: Causally Isolating a Rare Failure Mode in Japanese Morphological Inflection18 Sep 2026
- 2026When Irregularity Helps: A Subclass Analysis of Inductive Bias in Neural Morphology19 May 2026
- 2026How communicatively optimal are exact numeral systems? Once more on lexicon size and morphosyntactic complexity23 Feb 2026
- 2026Systematicity between Forms and Meanings across Languages Supports Efficient Communication23 Jan 2026
- 2025Discovering Properties of Inflectional Morphology in Neural Emergent Communication7 Aug 2025
- 2025Complexity counts: global and local perspectives on Indo-Aryan numeral systems19 May 2025
- 2024Tokenization and Morphology in Multilingual Language Models: A Comparative Analysis of mT5 and ByT515 Oct 2024
- 2023Information-Theoretic Characterization of Vowel Harmony: A Cross-Linguistic Study on Word Lists9 Aug 2023
- 2023An Information-Theoretic Analysis of Self-supervised Discrete Representations of Speech4 Jun 2023
- 2023Morphological Inflection: A Reality Check25 May 2023
- 2023What makes a language easy to deep-learn? Deep neural networks and humans similarly benefit from compositional structure23 Feb 2023
- 2022Estimating the Entropy of Linguistic Distributions4 Apr 2022
12 newest of 13 All 13 (JSON)