--- title: "Natal — research institutions and their papers in our library" description: "Natal (Brazil): 1 institutions with papers on Elamur Research — 1 university — and 37 citations of their works." canonical: "https://research.elamur.ai/free/en/agglomerations/natal/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/agglomerations/natal/) [home](https://md.research.elamur.ai/free/en/) / [institutions](https://md.research.elamur.ai/free/en/orgs/) / [agglomerations](https://md.research.elamur.ai/free/en/agglomerations/) / Natal # Natal Agglomeration [Brazil](https://md.research.elamur.ai/free/en/countries/brazil/) · metro population 1,321,460 (functional urban area, GHSL 2015) **1** institution with a page**2** works in our library**37** citations of their works ## Institutions (1) 1 university. ### 🎓 Universities (1) 1. **[Universidade Federal do Rio Grande do Norte](https://md.research.elamur.ai/free/en/universities/universidade-federal-do-rio-grande-do-norte/)**University · Natal, [Brazil](https://md.research.elamur.ai/free/en/countries/brazil/)*2 works · 37 citations* ## Works in our library (2) Works of its institutions, the most cited first. 1. [**On the Relation between Context-Free Grammars and Parsing Expression Grammars arXiv:1304.3177**Fabio Mascarenhas, Sérgio Medeiros, Roberto Ierusalimschy*2013 · 26 citations*](https://md.research.elamur.ai/free/en/papers/mascarenhas-2013-relation-between-context-free-grammars/) 2. **[How Can We Effectively Expand the Vocabulary of LLMs with 0.01GB of Target Language Text?](https://md.research.elamur.ai/free/en/papers/yamaguchi-2026-how-can-we-effectively-expand/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Atsuki Yamaguchi, Aline Villavicencio, Nikolaos Aletras*2026 · 11 citations* ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/agglomerations/natal/year/2026/) ### 2010s [**2013** 1 paper](https://md.research.elamur.ai/free/en/agglomerations/natal/year/2013/) ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) 🧭 Topics 2 Research subjects and languages the work is about.[Syntax & grammar formalisms · 1 work](https://md.research.elamur.ai/free/en/topics/syntax-grammar/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) 💡 Concepts 1 Key ideas and methods explained on our concept pages.[Context-free grammar · 1 work](https://md.research.elamur.ai/free/en/concepts/context-free-grammar/) Agglomerations: the GHSL Urban Centre Database 2025; populations: the GHSL functional urban areas 2015 (urban centre and commuting zone), else the urban centre, as each page says (European Commission, Joint Research Centre, CC BY 4.0). An institution belongs to the urban centre its coordinates (ROR, OpenAlex) fall in, or one within 5 km. Land: Natural Earth. - [← back to](https://md.research.elamur.ai/free/en/countries/brazil/) — Brazil Updated 30 October 2026