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# 🖍️ Grammatical error correction & learner language

80 papers · page 2 of 2 · 26–80 · the most cited first · [all topics](https://md.research.elamur.ai/free/en/topics/)

Finding and fixing errors in writing, and the language of learners.

## Papers (80)

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26. **[Interpretability for Language Learners Using Example-Based Grammatical Error Correction](https://md.research.elamur.ai/free/en/papers/kaneko-2022-interpretability-language-learners-example-based/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Masahiro Kaneko, Sho Takase, Ayana Niwa, et al.*2022 · 47 citations*
27. **[Advancements in Arabic Grammatical Error Detection and Correction: An Empirical Investigation](https://md.research.elamur.ai/free/en/papers/alhafni-2023-advancements-arabic-grammatical-error-detection/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Bashar Alhafni, Go Inoue, Christian Khairallah, et al.*2023 · 38 citations*
28. **[A Spelling Correction Corpus for Multiple Arabic Dialects](https://md.research.elamur.ai/free/en/papers/eryani-2020-spelling-correction-corpus-multiple-arabic/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Fadhl Eryani, Nizar Habash, Houda Bouamor, et al.*2020 · 31 citations*
29. [**Classifying Syntactic Errors in Learner Language**Leshem Choshen, Dmitry Nikolaev, Yevgeni Berzak, et al.*2020 · 30 citations*](https://md.research.elamur.ai/free/en/papers/choshen-2020-classifying-syntactic-errors-learner-language/)
30. [**A Systematic Review of Automated Grammar Checking in English Language arXiv:1804.00540**Madhvi Soni, Jitendra Singh Thakur*2018 · 28 citations*](https://md.research.elamur.ai/free/en/papers/soni-2018-systematic-review-automated-grammar-checking/)
31. **[KoKo: an L1 Learner Corpus for German](https://md.research.elamur.ai/free/en/papers/abel-2014-koko-l1-learner-corpus-german/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Andrea Abel, Aivars Glaznieks, Lionel Nicolas, et al.*2014 · 28 citations*
32. **[From distributions to labels: A lexical proficiency analysis using learner corpora](https://md.research.elamur.ai/free/en/papers/alfter-2016-distributions-labels-lexical-proficiency-analysis/) [joint workshop on NLP for Computer Assisted Language Learning and NLP for Language Acquisition](https://md.research.elamur.ai/free/en/venues/joint-workshop-on-nlp-for-computer-assisted-language-learning-and-nlp-for/)**David Alfter, Yuri Bizzoni, Anders Agebjörn, et al.*2016 · 27 citations*
33. [**A Dependency Treebank of Spoken Second Language English**Kristopher Kyle, Masaki Eguchi, Aaron Miller, et al.*2022 · 26 citations*](https://md.research.elamur.ai/free/en/papers/kyle-2022-dependency-treebank-spoken-second-language/)
34. **[Taking the Correction Difficulty into Account in Grammatical Error Correction Evaluation](https://md.research.elamur.ai/free/en/papers/gotou-2020-taking-correction-difficulty-into-account/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Takumi Gotou, Ryo Nagata, Masato Mita, et al.*2020 · 23 citations*
35. **[Using Word Semantics To Assist English as a Second Language Learners](https://md.research.elamur.ai/free/en/papers/azab-2015-word-semantics-assist-english-as/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Mahmoud Azab, Chris Hokamp, Rada Mihalcea*2015 · 22 citations*
36. [**The impact of colors on human memory in learning English collocations: evidence from south Asian tertiary ESL students Asian-Pacific Journal of Second and Foreign Language Education 5**Jahangeer Khan, Chengyu Liu*2020 · 19 citations*](https://md.research.elamur.ai/free/en/papers/khan-2020-impact-colors-human-memory-learning/)
37. [**AraSpell: A Deep Learning Approach for Arabic Spelling Correction arXiv:2405.06981**Mahmoud Salhab, Faisal Abu-Khzam*2024 · 15 citations*](https://md.research.elamur.ai/free/en/papers/salhab-2024-araspell-deep-learning-approach-arabic/)
38. [**SERRANT: a syntactic classifier for English Grammatical Error Types arXiv:2104.02310**Leshem Choshen, Matanel Oren, Dmitry Nikolaev, et al.*2021 · 12 citations*](https://md.research.elamur.ai/free/en/papers/choshen-2021-serrant-syntactic-classifier-english-grammatical/)
39. [**Analyzing the Impact of Spelling Errors on POS-Tagging and Chunking in Learner English**Tomoya Mizumoto, Ryo Nagata*2017 · 12 citations*](https://md.research.elamur.ai/free/en/papers/mizumoto-2017-analyzing-impact-spelling-errors-pos/)
40. [**Automated essay scoring in Arabic: a dataset and analysis of a BERT-based system arXiv:2407.11212**Rayed Ghazawi, Edwin Simpson*2024 · 11 citations*](https://md.research.elamur.ai/free/en/papers/ghazawi-2024-automated-essay-scoring-arabic-dataset/)
41. [**A POS Tagging Model Designed for Learner English**Ryo Nagata, Tomoya Mizumoto, Yuta Kikuchi, et al.*2018 · 11 citations*](https://md.research.elamur.ai/free/en/papers/nagata-2018-pos-tagging-model-adapted-learner/)
42. [**Joint English Spelling Error Correction and POS Tagging for Language Learners Writing**Keisuke Sakaguchi, Tomoya Mizumoto, Mamoru Komachi, et al.*2012 · 11 citations*](https://md.research.elamur.ai/free/en/papers/sakaguchi-2012-joint-english-spelling-error-correction/)
43. **[Efficient Measuring of Readability to Improve Documents Accessibility for Arabic Language Learners](https://md.research.elamur.ai/free/en/papers/bessou-2021-efficient-measuring-readability-improve-documents/) [Journal of Digital Information Management](https://md.research.elamur.ai/free/en/venues/journal-of-digital-information-management/)**Sadik Bessou, Ghozlane Chenni*2021 · 10 citations*
44. [**Tibyan Corpus: Balanced and Comprehensive Error Coverage Corpus Using ChatGPT for Arabic Grammatical Error Correction arXiv:2411.04588**Ahlam Alrehili, Areej Alhothali*2024 · 9 citations*](https://md.research.elamur.ai/free/en/papers/alrehili-2024-tibyan-corpus-balanced-comprehensive-error/)
45. [**Difficulties in using correct English prepositions among EFL students JEES (Journal of English Educators Society) 6**Ibrahim Abdalla*2021 · 8 citations*](https://md.research.elamur.ai/free/en/papers/abdalla-2021-difficulties-using-correct-english-prepositions/)
46. [**On Grammaticality in the Syntactic Annotation of Learner Language**Markus Dickinson, Marwa Ragheb*2015 · 8 citations*](https://md.research.elamur.ai/free/en/papers/dickinson-2015-grammaticality-syntactic-annotation-learner-language/)
47. **[Measuring Language Development in Early Childhood Education: A Case Study of Grammar Checking in Child Language Transcripts](https://md.research.elamur.ai/free/en/papers/hassanali-2011-measuring-language-development-early-childhood/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Khairun-nisa Hassanali, Yang Liu*2011 · 7 citations*
48. [**Predicting CEFRL levels in learner English on the basis of metrics and full texts arXiv:1806.11099**Taylor Arnold, Nicolas Ballier, Thomas Gaillat, et al.*2018 · 5 citations*](https://md.research.elamur.ai/free/en/papers/arnold-2018-predicting-cefrl-levels-learner-english/)
49. **[The Impact of Implicit Instruction upon the Use of English Discourse Markers in Written Tasks at the Advanced Beginners’ Level of EFL Proficiency](https://md.research.elamur.ai/free/en/papers/kapranov-2018-impact-implicit-instruction-upon-use/) [Baltic Journal of English Language Literature and Culture](https://md.research.elamur.ai/free/en/venues/baltic-journal-of-english-language-literature-and-culture/)**Oleksandr Kapranov*2018 · 5 citations*
50. [**Concordance-Based Data-Driven Learning Activities and Learning English Phrasal Verbs in EFL Classrooms Issues in Language Teaching 3**Mohammad Reza Anani Sarab, Amir Kardoust*2014 · 4 citations*](https://md.research.elamur.ai/free/en/papers/sarab-2014-concordance-based-data-driven-learning/)
51. [**Annotating Second Language in Universal Dependencies: a Review of Current Practices and Directions for Harmonized Guidelines**Arianna Masciolini, Aleksandrs Berdicevskis, Maria Irena Szawerna, et al.*2025 · 3 citations*](https://md.research.elamur.ai/free/en/papers/masciolini-2025-annotating-second-language-universal-dependencies/)
52. [**Targeted Syntactic Evaluation for Grammatical Error Correction**Aomi Koyama, Masato Mita, Su-Youn Yoon, et al.*2025 · 3 citations*](https://md.research.elamur.ai/free/en/papers/koyama-2025-targeted-syntactic-evaluation-grammatical-error/)
53. [**Towards the Development of Balanced Synthetic Data for Correcting Grammatical Errors in Arabic: An Approach Based on Error Tagging Model and Synthetic Data Generating Model arXiv:2502.05312**Ahlam Alrehili, Areej Alhothali*2025 · 3 citations*](https://md.research.elamur.ai/free/en/papers/alrehili-2025-towards-development-balanced-synthetic-data/)
54. **[Designing the LECOR Learner Corpus for Romanian](https://md.research.elamur.ai/free/en/papers/barbu-2023-designing-lecor-learner-corpus-romanian/) [Recent Advances in Natural Language Processing (RANLP)](https://md.research.elamur.ai/free/en/venues/ranlp/)**Ana Maria Barbu, Elena Irimia, Carmen Mîrzea Vasile, et al.*2023 · 2 citations*
55. **[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 NLP for Computer Assisted Language Learning](https://md.research.elamur.ai/free/en/venues/nlp4call/)**Tatsuya Aoyama*2022 · 2 citations*
56. [**The Premature Use of English Grammar by EFL Learners TEFLIN Journal 10**Nur Mukminatien*2015 · 2 citations*](https://md.research.elamur.ai/free/en/papers/mukminatien-2015-premature-use-english-grammar-efl/)
57. **[Assessing the so called Marked Inflectional Features of the Nigerian English: a Second Language Acquisition Theory Account](https://md.research.elamur.ai/free/en/papers/oshodi-2014-assessing-so-called-marked-inflectional/) [Íkala Revista de Lenguaje y Cultura](https://md.research.elamur.ai/free/en/venues/ikala-revista-de-lenguaje-y-cultura/)**Boluwaji Oshodi*2014 · 2 citations*
58. **[A Bilingual Bimodal Benchmark for Arabic-English NLP across Grammatical Correction, Essay Scoring, Morphological Tagging, and Speech Recognition](https://md.research.elamur.ai/free/en/papers/alhafni-2026-bilingual-bimodal-benchmark-arabic-english/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Bashar Alhafni, Injy Hamed, Fadhl Eryani, et al.*2026 · 1 citation*
59. **[Beyond Error Categories: A Contextual Approach of Evaluating Emerging Spell and Grammar Checkers](https://md.research.elamur.ai/free/en/papers/arnardottir-2024-beyond-error-categories-contextual-approach/) [SIGUL Joint Workshop with ELE, EURALI, and DCLRL: Towards Inclusivity and Equality: Language Resources and Technologies for Under-Resourced and Endangered Languages](https://md.research.elamur.ai/free/en/venues/sigul/)**Þórunn Arnardóttir, Svanhvít Lilja Ingólfsdóttir, Haukur Barri Símonarson, et al.*2024 · 1 citation*
60. **[Potential of ASR for the study of L2 learner corpora](https://md.research.elamur.ai/free/en/papers/ayari-2024-potential-asr-study-l2-learner/) [Workshop on NLP for Computer Assisted Language Learning](https://md.research.elamur.ai/free/en/venues/nlp4call/)**Sarra El Ayari, Zhongjie Li*2024 · 1 citation*
61. **[SC-Ques: A Sentence Completion Question Dataset for English as a Second Language Learners](https://md.research.elamur.ai/free/en/papers/liu-2022-sc-ques-sentence-completion-question/) [Lecture notes in computer science](https://md.research.elamur.ai/free/en/venues/lecture-notes-in-computer-science/)**Qiongqiong Liu, Yaying Huang, Zitao Liu, et al.*2022 · 1 citation*
62. [**Difficulties Facing Iranian EFL Senior High School Learners and Strategies They Use to Understand English Idioms Issues in Language Teaching 7**Vahid Shahidipour, Mohammad Hassan Tahririan*2018 · 1 citation*](https://md.research.elamur.ai/free/en/papers/shahidipour-2018-difficulties-facing-iranian-efl-senior/)
63. [**Competency Tracking for English as a Second or Foreign Language Learners arXiv:1306.6130**Robert Bishop Jr*2013 · 1 citation*](https://md.research.elamur.ai/free/en/papers/jr-2013-competency-tracking-english-second-foreign/)
64. **[A Dialogue System for Second Language Learning with Dynamic Adaptation to In-Dialogue Difficulty Changes](https://md.research.elamur.ai/free/en/papers/morioka-2026-dialogue-system-second-language-learning/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Taku Morioka, Junya Takayama, Tomoyuki Kajiwara*2026*
65. [**ArabiGEE: A Hierarchical Taxonomy for Arabic Grammatical Error Explanation arXiv:2606.10765**Khaled Elhady, Omar Kallas, Nizar Habash, et al.*2026*](https://md.research.elamur.ai/free/en/papers/elhady-2026-arabigee-hierarchical-taxonomy-arabic-grammatical/)
66. **[Automated Essay Scoring and Language Certification: Assessing Generalizability, Agreement and Validity for French](https://md.research.elamur.ai/free/en/papers/wilkens-2026-automated-essay-scoring-language-certification/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Rodrigo Wilkens, Rémi Cardon, Vincent Folny, et al.*2026*
67. **[Corpora Generation for Urdu Grammatical Error Correction](https://md.research.elamur.ai/free/en/papers/ahad-2026-corpora-generation-urdu-grammatical-error/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Syed Ahad, Burhanuddin Aliasghar Ezzi, Muhammad Arsalan Hussain, et al.*2026*
68. **[Corruption-Based Data Augmentation for Arabic Essay Scoring: A Preliminary Study on the Organization Trait](https://md.research.elamur.ai/free/en/papers/bashendy-2026-corruption-based-data-augmentation-arabic/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**May Saed Bashendy, Tamer Elsayed*2026*
69. **[GerVLPro: A CEFR-Graded Vocabulary List of L2 Learners' Productive Vocabulary in German](https://md.research.elamur.ai/free/en/papers/michael-2026-gervlpro-cefr-graded-vocabulary-list/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Noah-Manuel Michael, Anna Hülsing, Andrea Horbach*2026*
70. [**STAGEET: Stage-wise Typed Edit Tagging for Grammatical Error Correction with Arabic as a Case Study arXiv:2608.28614**Wenjie Lou, Alaa Mamdouh Akef*2026*](https://md.research.elamur.ai/free/en/papers/lou-2026-stageet-stage-wise-typed-edit/)
71. [**ArbESC+: Arabic Enhanced Edit Selection System Combination for Grammatical Error Correction Resolving conflict and improving system combination in Arabic GEC arXiv:2511.14230**Ahlam Alrehili, Areej Alhothali*2025*](https://md.research.elamur.ai/free/en/papers/alrehili-2025-arbesc-arabic-enhanced-edit-selection/)
72. [**ICLE-RC: International Corpus of Learner English for Relative Clauses**Debopam Das, Izabela Czerniak, Peter Bourgonje*2025*](https://md.research.elamur.ai/free/en/papers/das-2025-icle-rc-international-corpus-learner/)
73. **[Niyamika at BHASHA Task 1: Word-Level Transliteration for English-Hindi Mixed Text in Grammar Correction Using MT5](https://md.research.elamur.ai/free/en/papers/ambaliya-2025-niyamika-bhasha-task-1-word/) [Workshop on Benchmarks, Harmonization, Annotation, and Standardization for Human-Centric AI in Indian Languages](https://md.research.elamur.ai/free/en/venues/bhasha/)**Rucha Ambaliya, Mahika Dugar, Pruthwik Mishra*2025*
74. [**Syntax of referents of relative markers: Evidence from a corpus of learner English**Izabela Czerniak, Debopam Das*2025*](https://md.research.elamur.ai/free/en/papers/czerniak-2025-syntax-referents-relative-markers-evidence/)
75. **[面向语言学习者的跨语言反馈评语生成方法(Cross-Lingual Feedback Comment Generation for Language Learners)](https://md.research.elamur.ai/free/en/papers/an-2024-cross-lingual-feedback-comment-generation/) [Chinese National Conference on Computational Linguistics](https://md.research.elamur.ai/free/en/venues/ccl/)**Jiyuan An, Lin Zhu, Erhong Yang*2024*
76. **[A Systematic Survey of Automated Essay Scoring (写作智能评测研究综述和发展前景)](https://md.research.elamur.ai/free/en/papers/xue-2023-systematic-automated-essay/) [Journal of Chinese Information Processing](https://md.research.elamur.ai/free/en/venues/journal-of-chinese-information-processing/)**Siyuan Xue (薛嗣媛), Jianshe Zhou (周建设), Fuji Ren (任福继)*2023*
77. [**Statistics on text demarcations and language learners driven by a database of the Hebrew Bible**Nicolai Winther-Nielsen*2022*](https://md.research.elamur.ai/free/en/papers/winther-nielsen-2022-statistics-text-demarcations-language-learners/)
78. **[Learning with learner corpora: Using the TLE for native language identification](https://md.research.elamur.ai/free/en/papers/adams-2017-learning-learner-corpora-tle-native/) [joint workshop on NLP for Computer Assisted Language Learning and NLP for Language Acquisition](https://md.research.elamur.ai/free/en/venues/joint-workshop-on-nlp-for-computer-assisted-language-learning-and-nlp-for/)**Allison Adams, Sara Stymne*2017*
79. **[Variabilité des syllabes réalisées par des apprenants de l'anglais (Analysing syllable variability in a French learner corpus of English)](https://md.research.elamur.ai/free/en/papers/ballier-2016-variabilite-des-syllabes-realisees-par/) [JEP-TALN-RECITAL (the French-speaking conferences on speech and natural language processing)](https://md.research.elamur.ai/free/en/venues/jeptalnrecital/)**Nicolas Ballier, Philippe Martin, Maelle Amand*2016*
80. **[Attitudes to Language and Culture in the EFL Classroom: British versus American English?](https://md.research.elamur.ai/free/en/papers/cruz-2015-attitudes-language-culture-efl-classroom/) [Revista de Lenguas para Fines Específicos](https://md.research.elamur.ai/free/en/venues/revista-de-lenguas-para-fines-especificos/)**Isabel González Cruz, María Jesús Vera Cazorla*2015*

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