---
title: "Mathias Coeckelbergs — papers and cards"
description: "Mathias Coeckelbergs: 2 paper cards in the Research library (2022–2023), with what each paper is about, the ideas Mova took from it, and the co-authors."
canonical: "https://research.elamur.ai/free/en/authors/mathias-coeckelbergs/"
---
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# Mathias Coeckelbergs

2 paper cards in the Research library · 2022–2023

Mathias Coeckelbergs wrote 2 of the papers Mova reads, in 2022–2023; often with Constantijn Sikkel, Jisk Attema, [Martijn Naaijer](https://md.research.elamur.ai/free/en/authors/martijn-naaijer/).

[OpenAlex](https://openalex.org/A5002793148) · [**h-index 3**](https://openalex.org/authors/A5002793148) · [35 citations](https://openalex.org/authors/A5002793148) · [51 works](https://openalex.org/works?filter=author.id:A5002793148) — openalex-snapshot, 2026-10-14

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=Mathias+Coeckelbergs) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Mathias+Coeckelbergs) · [dblp](https://dblp.org/search?q=Mathias+Coeckelbergs) · [ACL Anthology](https://aclanthology.org/search/?q=Mathias+Coeckelbergs) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Mathias+Coeckelbergs)

## Ideas Mova took (1)

From the ideas ledger: an idea tried, kept or queued, or measured with no gain, and what it gave.

- **kept** — Consonant check: the first error category (the predicted consonantal form differs from the surface text) needs no linguistics. *([A Transformer-based parser for Syriac morphology](https://md.research.elamur.ai/free/en/papers/aclbulk-2023-naaijer-transformer-based-parser-syriac-morphology/) · consonant check in tools/hbo (Model::spells, no-check as negative control): 0 failures on dev, test and cv (278 799 tokens); commit 5c24bc409)*

## Papers

1. **[A Transformer-based parser for Syriac morphology](https://md.research.elamur.ai/free/en/papers/aclbulk-2023-naaijer-transformer-based-parser-syriac-morphology/)** *(2023)* `1 idea kept` The authors train a Transformer sequence-to-sequence model from scratch to produce ETCBC-style morphological analyses of Syriac text, one verse per line, with each graphical unit split into words and morphemes.
2. **[From Pattern to Interpretation. Using Colibri Core to Detect Translation Patterns in the Peshitta.](https://md.research.elamur.ai/free/en/papers/lingbulk-2022-coeckelbergs-pattern-interpretation-colibri-core-detect/)** *(2022)* This is a progress report of a project that uses Colibri Core, a language-independent n-gram, skipgram and flexgram counter, to compare the Hebrew Bible with its Syriac translation, the Peshitta.

## Co-authors (4)

- Constantijn Sikkel
- Jisk Attema
- [Martijn Naaijer](https://md.research.elamur.ai/free/en/authors/martijn-naaijer/)
- Willem Th. Van Peursen
