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PUCP-Metrix: An Open-source and Comprehensive Toolkit for Linguistic Analysis of Spanish Texts

arXiv 2511.17402 ↗First posted 21 Nov 2025cs.CLcited by 0

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Abstract (arXiv)

Linguistic features remain essential for interpretability and tasks that involve style, structure, and readability, but existing Spanish tools offer limited coverage. We present PUCP-Metrix, an open-source and comprehensive toolkit for linguistic analysis of Spanish texts. PUCP-Metrix includes 182 linguistic metrics spanning lexical diversity, syntactic and semantic complexity, cohesion, psycholinguistics, and readability. It enables fine-grained, interpretable text analysis. We evaluate its usefulness on Automated Readability Assessment and Machine-Generated Text Detection, showing competitive performance compared to an existing repository and strong neural baselines. PUCP-Metrix offers a comprehensive and extensible resource for Spanish, supporting diverse NLP applications.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 10 of its 33 references that are in the map. First posted on arXiv 21 Nov 2025.

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10 of 33 references.

References · 10

  1. 2021XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languagescited by 347
  2. 2020WikiLingua: A New Benchmark Dataset for Cross-Lingual Abstractive Summarizationcited by 154
  3. 2020MLSUM: The Multilingual Summarization Corpuscited by 121
  4. 2021XLM-T: Multilingual Language Models in Twitter for Sentiment Analysis and Beyondcited by 114
  5. 2021MultiEURLEX -- A multi-lingual and multi-label legal document classification dataset for zero-shot cross-lingual transfercited by 90
  6. 2023Stylometric Detection of AI-Generated Text in Twitter Timelinescited by 59
  7. 2023Overview of AuTexTification at IberLEF 2023: Detection and Attribution of Machine-Generated Text in Multiple Domainscited by 31
  8. 2024PetKaz at SemEval-2024 Task 8: Can Linguistics Capture the Specifics of LLM-generated Text?cited by 4
  9. 2021NILC-Metrix: assessing the complexity of written and spoken language in Brazilian Portuguesecited by 3
  10. 2021MultiAzterTest: a Multilingual Analyzer on Multiple Levels of Language for Readability Assessmentcited by 2

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