--- title: "Maxime Amblard — papers and cards" description: "Maxime Amblard: 3 paper cards in the Research library (2023–2026), with what each paper is about, the ideas Mova took from it, and the co-authors." canonical: "https://research.elamur.ai/free/en/authors/maxime-amblard/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/maxime-amblard/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Maxime Amblard # Maxime Amblard 3 paper cards in the Research library · 2023–2026 Maxime Amblard wrote 3 of the papers Mova reads, in 2023–2026, most of them on [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/); often with [Frédérique Rey](https://md.research.elamur.ai/free/en/authors/frederique-rey/), [Iglika Nikolova-Stoupak](https://md.research.elamur.ai/free/en/authors/iglika-nikolova-stoupak/), [Bruno Guillaume](https://md.research.elamur.ai/free/en/authors/bruno-guillaume/). [OpenAlex](https://openalex.org/A5066715241) · [ORCID](https://orcid.org/0000-0002-2924-475X) · [**h-index 7**](https://openalex.org/authors/A5066715241) · [166 citations](https://openalex.org/authors/A5066715241) · [210 works](https://openalex.org/works?filter=author.id:A5066715241) — 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=Maxime+Amblard) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Maxime+Amblard) · [dblp](https://dblp.org/search?q=Maxime+Amblard) · [ACL Anthology](https://aclanthology.org/search/?q=Maxime+Amblard) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Maxime+Amblard) Topics: [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/) 1 ## Papers 1. **[BEReshiT: an Ancient Hebrew Model based on DictaBERT](https://md.research.elamur.ai/free/en/papers/aclbulk-2026-stoupak-bereshit-ancient-hebrew-model-based/)** *(2026)* The authors fine-tune DictaBERT, a BERT model for Modern Hebrew, on the Hebrew Bible (about 373,000 words) and on clean Dead Sea Scrolls lines (about 68,000 words), to make an Ancient Hebrew model, BEReshiT, and a morphology submodel, BEReshiT-morph. 2. **[A Classifier of Word-Level Variants in Witnesses of Biblical Hebrew Manuscripts](https://md.research.elamur.ai/free/en/papers/findings-2025-stoupak-classifier-word-level-variants-witnesses/)** *(2025)* Stemmatology reconstructs how manuscripts descend from one another from the variants between witnesses. The authors work on Ben Sira, with nine witnesses from the Dead Sea Scrolls and the Cairo Geniza, and annotate aligned word pairs as plus/minus, inversion, morphological, lexical or unclassifiable, with… 3. **[Bridging Semantic Frameworks: mapping DRS onto AMR](https://md.research.elamur.ai/free/en/papers/pavlova-2023-bridging-semantic-frameworks-mapping-drs/)** *(2023)* The paper asks how much of an AMR graph can be built from the Discourse Representation Structure of the same sentence (the Parallel Meaning Bank variant). ## Co-authors (5) - [Frédérique Rey](https://md.research.elamur.ai/free/en/authors/frederique-rey/) ×2 - [Iglika Nikolova-Stoupak](https://md.research.elamur.ai/free/en/authors/iglika-nikolova-stoupak/) ×2 - [Bruno Guillaume](https://md.research.elamur.ai/free/en/authors/bruno-guillaume/) - Siyana Pavlova - Sophie Robert-Hayek ## More papers in the library (4) Pages of the Research library: our summary, the ideas, references and who cites each. - [Extracting First Order Logic formulas from graphical semantic representations](https://md.research.elamur.ai/free/en/papers/vergnette-2026-extracting-first-order-logic-formulas/) — Rémi de Vergnette, Vincent Tourneur, Maxime Amblard · 2026 - [Sema System for the DMR 2026 Shared Task: Multistage UMR Parsing with Qwen3-4B](https://md.research.elamur.ai/free/en/papers/vergnette-2026-sema-system-dmr-2026-shared/) — Rémi de Vergnette, Maxime Amblard · 2026 - [Semantic Parsing for Evaluating Large Language Models: Separating Linguistic Abilities with YARN](https://md.research.elamur.ai/free/en/papers/vergnette-2026-semantic-parsing-evaluating-large-language/) — Rémi DE VERGNETTE, Maxime Amblard · 2026 - [Discourse Relation Prediction and Discourse Parsing in Dialogues with Minimal Supervision](https://md.research.elamur.ai/free/en/papers/li-2024-discourse-relation-prediction-discourse-parsing/) — Chuyuan Li, Chloé Braud, Maxime Amblard, et al. · 2024