Fernando Alva-Manchego

Fernando Alva-Manchego

Researcher in Natural Language Processing
Cardiff University
My research interests include text simplification, readability assessment, multilingual NLP, Welsh language technology, and NLP for education and social care.
Text Simplification

M²Preserve: A Multidimensional Framework for Evaluating Meaning Preservation in Text Simplification

We introduce M²Preserve, a framework that decomposes meaning preservation into Completeness and Faithfulness via key-fact alignment, and show it produces more structured and …

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ComplexityMT: Benchmarking the Interaction Between Text Complexity and Machine Translation

We introduce ComplexityMT, a CEFR-based benchmark across six languages showing that MT systems alter the complexity of translated texts relative to their source, with implications …

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Unsupervised Labelling of Mutation Triggers in Welsh

We introduce mutation trigger labelling as a novel NLP task for Welsh and evaluate rule-based systems and large language models on automatically identifying the grammatical causes …

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Welsh NLP

Proffiliadur: Welsh Language Text Profiling Toolkit

LREC 2026

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Welsh NLP

From Corpus to Community: New NLP Tools for Welsh Language Research and Learning

CMLC-12 @ LREC 2026

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Welsh NLP

CEFR-Cymraeg: A Dataset and Baseline Models for Language Proficiency Assessment in Welsh

LREC 2026

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Text Simplification

A Meta-evaluation of Automatic Metrics for Elaborative Simplification

READIxTSAR @ LREC 2026

Abdullah Alshatti
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Text Simplification

Findings of the TSAR 2025 Shared Task on Readability-Controlled Text Simplification

TSAR @ EMNLP 2025

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Readability Assessment

UniversalCEFR: Enabling Open Multilingual Research on Language Proficiency Assessment

EMNLP 2025

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Text Simplification

CardiffNLP at CLEARS-2025: Prompting Large Language Models for Plain Language and Easy-to-Read Text Rewriting

arXiv

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