--- title: "Workshop on Natural Language Processing for Computer" description: "Workshop on Natural Language Processing for Computer Assisted Language Learning 2022 — accepted papers: 1 paper in the Elamur…" canonical: "https://research.elamur.ai/free/en/venues/nlp4call/2022/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/nlp4call/2022/) [home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [Workshop on Natural Language Processing…](https://md.research.elamur.ai/free/en/venues/nlp4call/) / 2022 # Workshop on Natural Language Processing for Computer Assisted Language Learning 2022 — accepted papers Workshop on Natural Language Processing for Computer Assisted Language Learning 2022 is the 2022 edition of the Workshop on Natural Language Processing for Computer Assisted Language Learning, held in Louvain-la-Neuve, Belgium, December 2022 (publisher: LiU Electronic Press). The ACL Anthology lists 13 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions. 📍 Louvain-la-Neuve, [Belgium](https://md.research.elamur.ai/free/en/countries/belgium/) · 🗓 December 2022 [**13** papers in the proceedings](#all) · [**1** work in our library](https://md.research.elamur.ai/free/en/venues/nlp4call/2022/#works) · [**2** citations of these works](https://md.research.elamur.ai/free/en/venues/nlp4call/2022/#works) ## All accepted papers (13) The most cited first; 1 with our summary link to their page here, the others to the original. 1. **[A Transformer for SAG: What Does it Grade? ↗](https://aclanthology.org/2022.nlp4call-1.12/)**Nico Willms, Ulrike Pado 2. **[Bringing Automatic Scoring into the Classroom - Measuring the Impact of Automated Analytic Feedback on Student Writing Performance ↗](https://aclanthology.org/2022.nlp4call-1.8/)**Andrea Horbach, Ronja Laarmann-Quante, Lucas Liebenow et al. 3. **[Comparing Native and Learner Englishes Using a Large Pre-trained Language Model](https://md.research.elamur.ai/free/en/papers/aoyama-2022-comparing-native-learner-englishes-large/)**Tatsuya Aoyama*our summary* 4. **[Evaluating Automatic Spelling Correction Tools on German Primary School Children's Misspellings ↗](https://aclanthology.org/2022.nlp4call-1.10/)**Ronja Laarmann-Quante, Lisa Prepens, Torsten Zesch 5. **[Exploring Linguistic Acceptability in Swedish Learners' Language ↗](https://aclanthology.org/2022.nlp4call-1.9/)**Julia Klezl, Yousuf Ali Mohammed, Elena Volodina 6. **[Generating and authoring high-variability exercises from authentic texts ↗](https://aclanthology.org/2022.nlp4call-1.7/)**Tanja Heck, Detmar Meurers 7. **[Interactive word sense disambiguation in foreign language learning ↗](https://aclanthology.org/2022.nlp4call-1.5/)**Jasper Degraeuwe, Patrick Goethals 8. **[Language learning analytics: designing and testing new functional complexity measures in L2 writings ↗](https://aclanthology.org/2022.nlp4call-1.6/)**Thomas Gaillat 9. **[Metadata Formats for Learner Corpora: Case Study and Discussion ↗](https://aclanthology.org/2022.nlp4call-1.11/)**Herbert Lange 10. **[Swedish MuClaGED: A new dataset for Grammatical Error Detection in Swedish ↗](https://aclanthology.org/2022.nlp4call-1.4/)**Judith Casademont Moner, Elena Volodina 11. **[The Teacher-Student Chatroom Corpus version 2: more lessons, new annotation, automatic detection of sequence shifts ↗](https://aclanthology.org/2022.nlp4call-1.3/)**Andrew Caines, Helen Yannakoudakis, Helen Allen et al. 12. **[The instructional effectiveness of automatically generated exercises for learning French grammatical gender: preliminary results ↗](https://aclanthology.org/2022.nlp4call-1.2/)**Stephen Bodnar 13. **[Towards a Verb Profile: distribution of verbal tenses in FFL textbooks and in learner productions ↗](https://aclanthology.org/2022.nlp4call-1.13/)**Nami Yamaguchi, David Alfter, Kaori Sugiyama et al. ## Papers with our summary in our library (1) The most cited first (OpenAlex citations plus our library's). 1. **[Comparing Native and Learner Englishes Using a Large Pre-trained Language Model](https://md.research.elamur.ai/free/en/papers/aoyama-2022-comparing-native-learner-englishes-large/) [Workshop on Natural Language Processing for Computer Assisted Language Learning](https://md.research.elamur.ai/free/en/venues/nlp4call/)**Tatsuya Aoyama*2022 · 2 citations* ## Top topics Topics of its works in our library, with the number of works on each. [Language models & pretraining (1)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Grammatical error correction & learner language (1)](https://md.research.elamur.ai/free/en/topics/grammatical-error-correction/) · [English (1)](https://md.research.elamur.ai/free/en/topics/english/) ## Fields [Arts and Humanities (1)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science (1)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Psychology (1)](https://md.research.elamur.ai/free/en/shelves/psychology/) ## Top authors Authors with a page who published here most often: their works here, and the citations of those works. [🧑‍🔬**Tatsuya Aoyama**1 work here · 2 citations](https://md.research.elamur.ai/free/en/authors/tatsuya-aoyama/) ## Top institutions Institutions on the bylines of its works here, by the number of works. [🎓**Georgetown University** Washington · United States 1 work here](https://md.research.elamur.ai/free/en/universities/georgetown-university/) Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library. - [← previous Workshop on Natural Language Processing for Computer Assisted Language Learning 2018](https://md.research.elamur.ai/free/en/venues/nlp4call/2018/) - [next → Workshop on Natural Language Processing for Computer Assisted Language Learning 2023](https://md.research.elamur.ai/free/en/venues/nlp4call/2023/) - [↑ back to Workshop on Natural Language Processing for Computer Assisted Language Learning](https://md.research.elamur.ai/free/en/venues/nlp4call/)