---
title: "Raphael Schmitt — author profile and papers in our library"
description: "Raphael Schmitt, University of Freiburg: 3 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites them…"
canonical: "https://research.elamur.ai/free/en/authors/raphael-schmitt/"
---
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# Raphael Schmitt

Raphael Schmitt has 3 papers in our library, in 2026, most of them on [Hebrew & Aramaic](https://md.research.elamur.ai/free/en/topics/hebrew-aramaic/), [Semitic languages](https://md.research.elamur.ai/free/en/topics/semitic-languages/), [Modern Hebrew](https://md.research.elamur.ai/free/en/topics/modern-hebrew/); often with [Stefan Schweter](https://md.research.elamur.ai/free/en/authors/stefan-schweter/).

3 papers in our library · 2026

[OpenAlex](https://openalex.org/A5126838959) · [**h-index 0**](https://openalex.org/authors/A5126838959) · [8 works](https://openalex.org/works?filter=author.id:A5126838959) · [0 citations](https://openalex.org/works?filter=author.id:A5126838959&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/raphael-schmitt/#papers) · [🔗 Cited 3 times in our library](https://md.research.elamur.ai/free/en/authors/raphael-schmitt/cited-by/) · [⭐ Paper Stars ranking: #10844](https://md.research.elamur.ai/free/en/paper-stars/page/109/#star-10844)

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=Raphael+Schmitt) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Raphael+Schmitt) · [dblp](https://dblp.org/search?q=Raphael+Schmitt) · [ACL Anthology](https://aclanthology.org/search/?q=Raphael+Schmitt)

## Affiliations

[🎓**Technical University of Munich** Munich · Germany 2026 · 6 papers*current*](https://md.research.elamur.ai/free/en/universities/technical-university-of-munich/) · [🎓**University of Freiburg** Freiburg im Breisgau · Germany 2026 · 6 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-freiburg/) · [🏥**University Medical Center Freiburg** Freiburg im Breisgau · Germany 2026 · 3 papers*current*](https://ror.org/03vzbgh69)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

## 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/) · [Biochemistry, Genetics and Molecular Biology · 1 work](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/) · [Molecular Biology · 1 work](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/molecular-biology/)

🧭 Topics 3 Research subjects and languages the work is about.[Hebrew & Aramaic · 1 work](https://md.research.elamur.ai/free/en/topics/hebrew-aramaic/) · [Modern Hebrew · 1 work](https://md.research.elamur.ai/free/en/topics/modern-hebrew/) · [Semitic languages · 1 work](https://md.research.elamur.ai/free/en/topics/semitic-languages/)

## Works by year

### 2020s

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

## Papers

The most cited first (OpenAlex and our library).

1. **[The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP](https://md.research.elamur.ai/free/en/papers/he-2026-word-way-strategies-domain-specific/)** *(2026 · 2 citations)* German clinical NLP lacks strong pre-trained encoders. The existing German biomedical models either use older architectures or were trained on small amounts of data. The authors built ChristBERT, a family of RoBERTa-based models that extends the earlier GeistBERT. To compensate for the scarcity of German clinical…
2. **[SindBERT, the Sailor: Charting the Seas of Turkish NLP](https://md.research.elamur.ai/free/en/papers/schmitt-2026-sindbert-sailor-charting-seas-turkish/)** *(2026 · 1 citation)* Turkish is a morphologically rich, agglutinative language. It already has several transformer encoders, but no RoBERTa model had been pre-trained at full scale. Earlier RoBERTa attempts used small batches and short schedules. The authors fill this gap with SindBERT, trained from scratch in base and large sizes on…
3. **[HalleluBERT: Let Every Token That Has Meaning Bear Its Weight](https://md.research.elamur.ai/free/en/papers/schmitt-2026-hallelubert-let-every-token-that/)** *(2026)* The paper presents HalleluBERT, a RoBERTa-style encoder for Modern Hebrew in base (126M parameters) and large (357M) sizes, pre-trained from scratch on about 49.1 GB of deduplicated Hebrew web text (HeDC4) and Hebrew Wikipedia, with a 52k byte-level BPE vocabulary.

## Co-authors here

1 co-author with a page, the most papers together first.

- [Stefan Schweter](https://md.research.elamur.ai/free/en/authors/stefan-schweter/)

## Venues

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

- [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 Natural Language Processing for Turkic Languages](https://md.research.elamur.ai/free/en/venues/sigturk/): [Workshop Natural Language Processing for Turkic Languages 2026](https://md.research.elamur.ai/free/en/venues/sigturk/2026/)

## Cited by

Papers of our library cite their works 3 times (of the 149,439 papers whose bibliographies we read); [2 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/raphael-schmitt/cited-by/).

Updated 31 October 2026
