--- title: "France — works, page 3" description: "Works of France: 224 in our library · page 3 of 3, the most cited first." canonical: "https://research.elamur.ai/free/en/countries/france/works/page/3/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/countries/france/works/page/3/) [home](https://md.research.elamur.ai/free/en/) / [countries](https://md.research.elamur.ai/free/en/countries/) / [France](https://md.research.elamur.ai/free/en/countries/france/) / [works](https://md.research.elamur.ai/free/en/countries/france/works/) / page 3 # Works of France 224 · page 3 of 3 · the most cited first · [← France](https://md.research.elamur.ai/free/en/countries/france/) [← prev](https://md.research.elamur.ai/free/en/countries/france/works/page/2/) [1](https://md.research.elamur.ai/free/en/countries/france/works/) [2](https://md.research.elamur.ai/free/en/countries/france/works/page/2/) **3** 201. [**Referential continuity in the Scolinter corpus of French and Italian school writing (Analyse de la continuité référentielle dans le corpus d'écrits scolaires français et italien Scolinter)**Martina Barletta, Claude Ponton*2025*](https://md.research.elamur.ai/free/en/papers/barletta-2025-analyse-de-la-continuite-referentielle/) 202. [**Carnival at Sura: Bakhtin and the Babylonian Talmud (Carnaval à Soura : Bakhtine et le Talmud de Babylone)**Daniel Boyarin*2013*](https://md.research.elamur.ai/free/en/papers/boyarin-2013-carnaval-soura-bakhtine-et-le/) 203. [**Modelling Idiomatic Expressions in Abstract Meaning Representation**Venera Gareeva, Johannes Heinecke*2026*](https://md.research.elamur.ai/free/en/papers/gareeva-2026-modelling-idiomatic-expressions-abstract-meaning/) 204. [**A Proposal for a More Universal Annotation of Relative Clauses in Universal Dependencies**Santiago Herrera, Sylvain Kahane*2026*](https://md.research.elamur.ai/free/en/papers/herrera-2026-proposal-more-universal-annotation-relative/) 205. [**Validation Issues induced by an Automatic Pre-Annotation Mechanism in the Building of Non-projective Dependency Treebanks**Ophélie Lacroix, Denis Béchet*2014*](https://md.research.elamur.ai/free/en/papers/lacroix-2014-validation-issues-induced-automatic-pre/) 206. [**On the Use of LLMs for Specialised Terminology: A Good Alternative to Corpora?**Joachim Minder, Guillaume Wisniewski, Natalie Kübler*2026*](https://md.research.elamur.ai/free/en/papers/minder-2026-use-llms-specialised-terminology-good/) 207. [**When Tables Go Crazy: Evaluating Multimodal Models on French Financial Documents**Virginie Mouilleron, Théo Lasnier, Anna Mosolova, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mouilleron-2026-when-tables-go-crazy-evaluating/) 208. [**Evaluating the Retrieval Component in a Retrieval-Augmented Summarization System for Patient Records in French**Marco Naguib, Christel Gérardin, Victor Beaucoté, et al.*2026*](https://md.research.elamur.ai/free/en/papers/naguib-2026-evaluating-retrieval-component-retrieval-augmented/) 209. [**Fine-tuning Whisper with Spontaneous Persian Speech (SPS)**Behnoosh Namdarzadeh, Nicolas Ballier*2026*](https://md.research.elamur.ai/free/en/papers/namdarzadeh-2026-fine-tuning-whisper-spontaneous-persian/) 210. [**ForumOccitania: A Corpus of User-Generated Content for Multiple Occitan Varieties**Oriane Nédey, Juliette Janès, Rachel Bawden, et al.*2026*](https://md.research.elamur.ai/free/en/papers/nedey-2026-forumoccitania-corpus-user-generated-content/) 211. [**When the Gold Standard Isn't Necessarily Standard: Challenges of Evaluating the Translation of User-Generated Content**Lydia Nishimwe, Benoît Sagot, Rachel Bawden*2026*](https://md.research.elamur.ai/free/en/papers/nishimwe-2026-when-gold-standard-isn-t/) 212. [**EIFFEL: a novel benchmark to measure bias of English heavy training on French idiomatic expressions**Charlotte Noel, Nicholas Asher, Olivier Gouvert, et al.*2026*](https://md.research.elamur.ai/free/en/papers/noel-2026-eiffel-novel-benchmark-measure-bias/) 213. [**Automatic Extraction of Textual and Phonemic Complexity for French Cued Speech**Magali Norré, Brigitte Bigi, Núria Gala, et al.*2026*](https://md.research.elamur.ai/free/en/papers/norre-2026-automatic-extraction-textual-phonemic-complexity/) 214. [**SagaQA: A Multi-hop Reasoning Benchmark for Long-form Narrative Understanding in TV Series**Galann Pennec, Zhengyuan Liu, Nicholas Asher, et al.*2026*](https://md.research.elamur.ai/free/en/papers/pennec-2026-sagaqa-multi-hop-reasoning-benchmark/) 215. [**Stem Configurations, Lexical Items, and Phonological Words in Maltese**Gilbert Puech*2023*](https://md.research.elamur.ai/free/en/papers/puech-2023-stem-configurations-lexical-items-phonological/) 216. [**Detecting Experiential Intertextuality Across Migration Routes: Beyond Surface Similarity in French Narratives**Sakayo Toadoum Sari, Nelly Robin, Michelle Auzanneau, et al.*2026*](https://md.research.elamur.ai/free/en/papers/sari-2026-detecting-experiential-intertextuality-across-migration/) 217. [**Moroccan Arabic and Jewish‑Arabic in Hebrew as Spoken by Israelis of Moroccan Origin: The Case of the TV Show Zaguri Imperya**Jonas Sibony*2021*](https://md.research.elamur.ai/free/en/papers/sibony-2021-moroccan-arabic-jewisharabic-hebrew-spoken/) 218. [**BEReshiT: an Ancient Hebrew Model based on DictaBERT**Iglika Nikolova-Stoupak, Maxime Amblard, Frédérique Rey*2026*](https://md.research.elamur.ai/free/en/papers/stoupak-2026-bereshit-ancient-hebrew-model-based/) 219. [**Transfer Learning for Creole TTS: A Pilot Study on Whether Substrate Phonologies or Lexifier Vocabularies Matter More**Emmett Strickland, Marc Evrard, Valentina Fedchenko*2026*](https://md.research.elamur.ai/free/en/papers/strickland-2026-transfer-learning-creole-tts-pilot/) 220. [**Translation from the Information Bottleneck Perspective: an Efficiency Analysis of Spatial Prepositions in Bitexts**Antoine Taroni, Ludovic Moncla, Frederique Laforest*2026*](https://md.research.elamur.ai/free/en/papers/taroni-2026-translation-information-bottleneck-perspective-efficiency/) 221. [**The MaTOS Pipeline for the Translation of Scientific Abstracts on the HAL Platform**Panagiotis Tsolakis, Ziqian Peng, Laurent Romary, et al.*2026*](https://md.research.elamur.ai/free/en/papers/tsolakis-2026-matos-pipeline-translation-scientific-abstracts/) 222. [**Extracting First Order Logic formulas from graphical semantic representations**Rémi de Vergnette, Vincent Tourneur, Maxime Amblard*2026*](https://md.research.elamur.ai/free/en/papers/vergnette-2026-extracting-first-order-logic-formulas/) 223. [**From Latents to Labels: Zero-Shot Named Entity Recognition using Sparse Autoencoder Features**Nakanyseth Vuth, Gilles Sérasset, Didier Schwab*2026*](https://md.research.elamur.ai/free/en/papers/vuth-2026-latents-labels-zero-shot-named/) 224. [**From Categories to Decisions: A Framework for Attitudinal Analysis of Evaluative Language**Jiamei Zeng, Haitao Wang, Harry Bunt, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zeng-2026-categories-decisions-framework-attitudinal-analysis/) [← prev](https://md.research.elamur.ai/free/en/countries/france/works/page/2/) [1](https://md.research.elamur.ai/free/en/countries/france/works/) [2](https://md.research.elamur.ai/free/en/countries/france/works/page/2/) **3** - [← back to](https://md.research.elamur.ai/free/en/countries/france/) — France