MORFES: A Benchmark for Productive Inflectional Competence in Modern Greek
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Abstract (arXiv)
Modern Greek is a richly inflected language, yet the language models built for it are evaluated mainly on factual knowledge, and no benchmark is dedicated to their inflectional competence. We introduce MORFES (Morphological Open-class Recognition-and-Formation Evaluation Suite), a benchmark of 500 expert-verified items that tests the recognition and production of Greek inflected forms, favoring lower-frequency lemmas so that a correct answer reflects the rule rather than a memorized form. We make it publicly available at https://huggingface.co/datasets/KIEFERSA/MORFES. We evaluate a range of open language models on MORFES, situating them within the rapidly scaling open-weight ecosystem from LLaMA to Qwen3, DeepSeek-R1, Magistral, and Kimi K2, where multilingual coverage grows but grammatical competence in morphologically rich languages remains under-measured. Among them, Sophea-Genesis-1, a model we developed and release as open weights at https://huggingface.co/KIEFERSA/Sophea-Genesis-1, leads on inflectional morphology while matching similarly sized models in general capability.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 14 of its 30 references that are in the map. First posted on arXiv 30 Jul 2026.
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References · 14
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- 2024Why do language models perform worse for morphologically complex languages?cited by 62
- 2019The SIGMORPHON 2019 Shared Task: Morphological Analysis in Context and Cross-Lingual Transfer for Inflectioncited by 43
- 2025Evaluating Morphological Alignment of Tokenizers in 70 Languagescited by 22
- 2021(Un)solving Morphological Inflection: Lemma Overlap Artificially Inflates Models' Performancecited by 20
- 2024Meltemi: The first open Large Language Model for Greekcited by 16
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