---
title: "Noémi Ligeti-Nagy — author profile and papers in our library"
description: "Noémi Ligeti-Nagy: 3 papers on Elamur Research (2026) — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/noemi-ligeti-nagy/"
---
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# Noémi Ligeti-Nagy

Noémi Ligeti-Nagy has 3 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Morphology](https://md.research.elamur.ai/free/en/topics/morphology/), [Tokenization & segmentation](https://md.research.elamur.ai/free/en/topics/tokenization/).

3 papers in our library · 2026

No OpenAlex profile matched yet.

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/noemi-ligeti-nagy/#papers) · [⭐ Paper Stars ranking: #11841](https://md.research.elamur.ai/free/en/paper-stars/page/119/#star-11841)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=No%C3%A9mi+Ligeti-Nagy) · [Semantic Scholar](https://www.semanticscholar.org/search?q=No%C3%A9mi+Ligeti-Nagy) · [dblp](https://dblp.org/search?q=No%C3%A9mi+Ligeti-Nagy) · [ACL Anthology](https://aclanthology.org/search/?q=No%C3%A9mi+Ligeti-Nagy)

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Literature and Literary Theory · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/literature-and-literary-theory/) · [Conservation · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/conservation/)

🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Morphology · 1 work](https://md.research.elamur.ai/free/en/topics/morphology/) · [Tokenization & segmentation · 1 work](https://md.research.elamur.ai/free/en/topics/tokenization/)

## Works by year

### 2020s

[**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/noemi-ligeti-nagy/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Managing Growth in a National Corpus: The Hungarian National Corpus 3.0 (MNSZ3)](https://md.research.elamur.ai/free/en/papers/nagy-2026-managing-growth-national-corpus-hungarian/)** *(2026)* MNSZ3 is the Hungarian National Corpus in its third iteration. It aims to enlarge its predecessor MNSZ2, the Hungarian Gigaword Corpus of about 1.04 billion running words, roughly tenfold to around 10 billion tokens while keeping the balanced, domain-based model. MNSZ3 keeps MNSZ2's six domains and their proportions…
2. **[The Impact of Tokenization Algorithms on Hungarian Language Model Performance](https://md.research.elamur.ai/free/en/papers/osvath-2026-impact-tokenization-algorithms-hungarian-language/)** *(2026)* Subword tokenization strongly affects how language models handle agglutinative languages, yet no one had systematically tested which algorithm works best for Hungarian.
3. **[Towards an interoperable Hungarian historical newspaper corpus](https://md.research.elamur.ai/free/en/papers/nagy-2026-interoperable-hungarian-historical-newspaper-corpus/)** *(2026)* Hungarian newspapers from about 1800–1920 have been digitised extensively, but the material is spread across many portals with inconsistent metadata, access routes and OCR quality.

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Workshop on Challenges in the Management of Large Corpora](https://md.research.elamur.ai/free/en/venues/cmlc/): [Workshop on Challenges in the Management of Large Corpora 2026](https://md.research.elamur.ai/free/en/venues/cmlc/2026/)
- [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/): [LREC 2026](https://md.research.elamur.ai/free/en/venues/lrec/2026/)
- [Workshop on Creating Interoperable Corpora of Historical Newspapers](https://md.research.elamur.ai/free/en/venues/pressmint/): [Workshop on Creating Interoperable Corpora of Historical Newspapers 2026](https://md.research.elamur.ai/free/en/venues/pressmint/2026/)

Updated 1 November 2026
