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Michael Zock

Michael Zock has 2 papers in our library, in 2023–2025, most of them on Language models & pretraining, Grammatical error correction & learner language, English; often with Diana Galvan-Sosa, Keisuke Sakaguchi, Kentaro Inui.

2 papers in our library · 2023–2025

OpenAlex · ORCID · h-index 13 · 287 works · 654 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 62 times in our library · 7 more in our library without a page yet · ⭐ Paper Stars ranking: #8266

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. Analyzing the Performance of GPT-3.5 and GPT-4 in Grammatical Error Correction (2023 · 81 citations)
    OpenAI's technical reports give no benchmark results for grammatical error correction (GEC). This study fills that gap by testing a GPT-3.5 model (text-davinci-003) and a GPT-4 model (gpt-4-0314) on standard GEC benchmarks. The task is framed as sentence-level revision: the model gets one possibly faulty sentence and…
  2. Annotating Errors in English Learners' Written Language Production: Advancing Automated Written Feedback Systems (2025 · 3 citations)
    Automated writing evaluation tools fix grammar well, but they mostly offer one-click direct edits. Language learners often gain more from short explanations or indirect hints, especially when an error breaks a general rule. The authors propose an annotation framework that records, for each learner error, an error…

All works

9 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Analyzing the Performance of GPT-3.5 and GPT-4 in Grammatical Error CorrectionarXiv:2303.14342Steven Coyne, Keisuke Sakaguchi, Diana Galvan-Sosa, et al.2023 · 81 citations
  2. A Tool for Linking Stems and Conceptual Fragments to Enhance word Access ↗Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10) · no summary yetNuria Gala, Véronique Rey, Michael Zock2010 · 6 citations
  3. FROM STRUCTURE TO PROCESS: Computer-assisted teaching of various strategies for generating pronoun constructions in French: ↗Coling 1986 Volume 1: The 11th International Conference on Computational Linguistics · no summary yetMichael Zock, Gerard Sabah, Christophe Alviset1986 · 2 citations
  4. Lexical access via a simple co-occurrence network (Trouver les mots dans un simple réseau de co-occurrences) [in French] ↗Proceedings of TALN 2013 (Volume 2: Short Papers) · no summary yetGemma Bel-Enguix, Michael Zock2013 · 1 citation
  5. Système d'aide à l'accès lexical : trouver le mot qu'on a sur le bout de la langue ↗Actes de la 11ème conférence sur le Traitement Automatique des Langues Naturelles. Articles longs · no summary yetGaëlle Lortal, Brigitte Grau, Michael Zock2004 · 1 citation
  6. Patrons de phrase, raccourcis pour apprendre rapidement à parler une nouvelle langue (Sentence patterns, shortcuts to quickly learn to speak a new language) ↗Actes de la 18e conférence sur le Traitement Automatique des Langues Naturelles. Articles longs · no summary yetMichael Zock, Guy Lapalme2011
  7. Du TAL au TIL ↗Actes de la 17e conférence sur le Traitement Automatique des Langues Naturelles. Articles longs · no summary yetMichael Zock, Guy Lapalme2010

 Co-authors here

5 co-authors with a page, the most papers together first.

Venues

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

 Cited by

Papers of our library cite their works 62 times (of the 149,439 papers whose bibliographies we read); 9 citing papers with a page here →.

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