---
title: "The MaTOS Pipeline for the Translation of — Tsolakis 2026"
description: "English-language dominance in academic publishing disadvantages researchers whose first language is not English."
authors: ["Panagiotis Tsolakis", "Ziqian Peng", "Laurent Romary", "François Yvon", "Rachel Bawden"]
year: 2026
venue: "Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 2)"
source: "https://aclanthology.org/2026.eamt-2.30/"
licence: "CC BY-ND 4.0 (EAMT)"
licence_url: "https://creativecommons.org/licenses/by-nd/4.0/"
summary_licence: "Elamur Cosmic License"
canonical: "https://research.elamur.ai/free/en/papers/tsolakis-2026-matos-pipeline-translation-scientific-abstracts/"
---
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# The MaTOS Pipeline for the Translation of Scientific Abstracts on the HAL Platform

**Authors:** Panagiotis Tsolakis, [Ziqian Peng](https://md.research.elamur.ai/free/en/authors/ziqian-peng/), [Laurent Romary](https://md.research.elamur.ai/free/en/authors/laurent-romary/), [François Yvon](https://md.research.elamur.ai/free/en/authors/francois-yvon/), [Rachel Bawden](https://md.research.elamur.ai/free/en/authors/rachel-bawden/) · **Year:** 2026 · **Venue:** Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 2) · **Licence:** [CC BY-ND 4.0 (EAMT)](https://creativecommons.org/licenses/by-nd/4.0/)

**Links:** [Publisher's page](https://aclanthology.org/2026.eamt-2.30/) · [PDF](https://aclanthology.org/2026.eamt-2.30.pdf) · [OpenAlex](https://openalex.org/W7165978252)

**Citations:** 0 citations (openalex-snapshot · 2026-10-14)

## Summary
English-language dominance in academic publishing disadvantages researchers whose first language is not English. Within the ANR-funded MaTOS project, the authors built an automatic pipeline that increases the number of bilingual English/French abstracts on HAL, the French national open archive. It runs in five stages:

- daily metadata harvesting through the HAL API;
- language checking and cleaning of source abstracts;
- translation with EuroLLM-9B-Instruct;
- filtering of weak outputs;
- sending drafts to authors, who approve or post-edit them.

Abstracts count as metadata, so they can be translated even when an article lacks an open licence. The authors compared three input granularities: single sentences, three-sentence chunks, and full abstracts. They also tested zero-, one- and two-shot prompting, scoring the outputs with the reference-free metrics CometKiwi and GEMBA-MQM. CometKiwi gave a slight edge to shorter segments, but GEMBA-MQM, applied to whole abstracts, ranked sentence-by-sentence output lowest. On that basis the team adopted document-level translation. The released code and the author-validated translations should support multilingual open science and provide parallel data for MT research.

## Key points
- **Scale of the gap (February 2026):** HAL holds 4.5M references. About 1.7M have only an English abstract, and roughly 582k have only a French one.
- **Source-side filtering:**
  - fastText checks that the declared language of each abstract matches its actual language.
  - Abstracts under 15 words, or ending in an ellipsis, are discarded.
  - HTML tags are stripped, and sub- and superscripts are normalised.
- **Translation setup:**
  - EuroLLM-9B-Instruct runs through vLLM within a 4096-token context limit.
  - Each request takes about 5.95 s on an A100 GPU.
  - Few-shot examples come from the ACAD-TRAIN and ACAD-BENCH subsets of ACADATA. They are chosen by BM25 over text lemmatised with SpaCy.
- **Effect of few-shot prompting:** adding examples generally lowered CometKiwi scores. Two-shot prompting also worsened GEMBA-MQM scores, except for fr–en on the HAL-Inria data.
- **Error analysis (10 en–fr abstracts):** mistranslation of scientific terms was the most frequent error. Inconsistent terminology increased with shorter segments. Gender and subject-verb agreement errors also appeared. Code is available at github.com/ANR-MaTOS/HAL_pipeline.

*Our summary of the paper, in our own words — not its text. The work belongs to its authors; read it at the links above.*

Fields: [Linguistics & languages](https://md.research.elamur.ai/free/en/shelves/linguistics/) · [Machine translation](https://md.research.elamur.ai/free/en/shelves/machine-translation/)

## Cite

The paper itself, not this page. BibTeX from the library's record of the work.

```bibtex
@inproceedings{tsolakis2026matos,
  title = {{The MaTOS Pipeline for the Translation of Scientific Abstracts on the HAL Platform}},
  author = {Tsolakis, Panagiotis and Peng, Ziqian and Romary, Laurent and Yvon, François and Bawden, Rachel},
  booktitle = {Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 2)},
  year = {2026},
  url = {https://aclanthology.org/2026.eamt-2.30/}
}
```

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