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# Who cites «The BEA-2019 Shared Task on Grammatical Error Correction»

245 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/bryant-2019-bea-2019-shared-task-grammatical/)

Pages: **1** · [2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/bryant-2019-bea-2019-shared-task-grammatical-2/) · [3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/bryant-2019-bea-2019-shared-task-grammatical-3/)

1. [A Bilingual Bimodal Benchmark for Arabic-English NLP across Grammatical Correction, Essay Scoring, Morphological Tagging, and Speech Recognition](https://aclanthology.org/2026.lrec-1.137/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
2. [Edit-level Majority Voting Mitigates Over-Correction in LLM-based Grammatical Error Correction](https://aclanthology.org/2026.bea-1.60/) *— 2026 · Proceedings of the 21st Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2026)*
3. [Evaluating Small Decoder-Only Language Models for Grammar Correction and Text Simplification](https://arxiv.org/abs/2601.03874) *— 2026 · arXiv:2601.03874*
4. [Exploiting the English Grammar Profile for L2 grammatical analysis with LLMs](https://arxiv.org/abs/2603.17171) *— 2026 · arXiv:2603.17171*
5. [FinnGEC: Benchmarking Grammatical Error Correction for Finnish](https://aclanthology.org/2026.bea-1.33/) *— 2026 · Proceedings of the 21st Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2026)*
6. [Glite at BEA 2026 Shared Task 1: Holistic Difficulty Models Dominate, Feature Engineering Closes the Gap in L1-Aware Vocabulary Difficulty Prediction](https://aclanthology.org/2026.bea-1.77/) *— 2026 · Proceedings of the 21st Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2026)*
7. [Grammatical Error Correction Evaluation by Optimally Transporting Edit Representation](https://aclanthology.org/2026.tacl-1.77/) *— 2026*
8. [How Far Can Prompting Go for Minimal-Edit Ukrainian Grammatical Error Correction?](https://aclanthology.org/2026.unlp-1.13/) *— 2026 · Proceedings of the Fifth Ukrainian Natural Language Processing Conference (UNLP 2026)*
9. [Instruction-Following LLMs for Grammatical Error Correction: Analyzing Neutral-Anchored Instructional Sensitivity Across Editing Modes](https://aclanthology.org/2026.bea-1.17/) *— 2026 · Proceedings of the 21st Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2026)*
10. [K-Merge: Online Continual Merging of Adapters for On-device Large Language Models](https://aclanthology.org/2026.acl-long.137/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
11. [Kateryna Karpo; Artem Chernodub. How Far Can Prompting Go for Minimal-Edit Ukrainian Grammatical Error Correction? // UNLP 2026](https://aclanthology.org/2026.unlp-1.13/) *— 2026 · UNLP 2026*
12. [Opportunities and Challenges of LLMs in Education: An NLP Perspective](https://aclanthology.org/2026.bea-1.26/) *— 2026 · Proceedings of the 21st Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2026)*
13. [STAGEET: Stage-wise Typed Edit Tagging for Grammatical Error Correction with Arabic as a Case Study](https://arxiv.org/abs/2608.28614) *— 2026 · arXiv:2608.28614*
14. [TalkTag: Fine-Grained Morphosyntactic Error Annotation for Transcribed Speech](https://aclanthology.org/2026.law-main.20/) *— 2026 · Proceedings of the 20th Linguistic Annotation Workshop (LAW XX)*
15. [Toward Robust Evaluation for Multilingual Grammatical Error Correction: Can Large Language Models Replace Human References?](https://aclanthology.org/2026.acl-long.2193/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
16. [uogal at BEA 2026 Shared Task 1: Ensemble of Multilingual Encoders with NMT Augmentation for L1-Aware Vocabulary Difficulty Prediction](https://aclanthology.org/2026.bea-1.75/) *— 2026 · Proceedings of the 21st Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2026)*
17. [A Platform for Generating Educational Activities to Teach English as a Second Language](https://arxiv.org/abs/2504.20251) *— 2025 · arXiv:2504.20251*
18. [APIO: Automatic Prompt Induction and Optimization for Grammatical Error Correction and Text Simplification](https://aclanthology.org/2025.ranlp-1.28/) *— 2025 · Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing - Natural Language Processing in the Generative AI Era*
19. [Corrections Meet Explanations: A Unified Framework for Explainable Grammatical Error Correction](https://arxiv.org/abs/2502.15261) *— 2025 · arXiv:2502.15261*
20. [DLRG at BHASHA: Task 1 (IndicGEC): A Hybrid Neurosymbolic Approach for Tamil and Malayalam Grammatical Error Correction](https://aclanthology.org/2025.bhasha-1.16/) *— 2025 · Proceedings of the 1st Workshop on Benchmarks, Harmonization, Annotation, and Standardization for Human-Centric AI in Indian Languages (BHASHA 2025)*
21. [DREsS: Dataset for Rubric-based Essay Scoring on EFL Writing](https://aclanthology.org/2025.acl-long.659/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
22. [Edit-Wise Preference Optimization for Grammatical Error Correction](https://aclanthology.org/2025.coling-main.229/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
23. [Encode Errors: Representational Retrieval of In-Context Demonstrations for Multilingual Grammatical Error Correction](https://aclanthology.org/2025.findings-acl.1090/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
24. [Enhancing Text Editing for Grammatical Error Correction: Arabic as a Case Study](https://aclanthology.org/2025.acl-long.875/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
25. [Explanation based In-Context Demonstrations Retrieval for Multilingual Grammatical Error Correction](https://aclanthology.org/2025.naacl-long.251/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
26. [GermDetect: Verb Placement Error Detection Datasets for Learners of Germanic Languages](https://aclanthology.org/2025.bea-1.59/) *— 2025 · Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025)*
27. [Grammatical Error Correction via Sequence Tagging for Russian](https://aclanthology.org/2025.acl-srw.82/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)*
28. [IMPARA-GED: Grammatical Error Detection is Boosting Reference-free Grammatical Error Quality Estimator](https://aclanthology.org/2025.findings-acl.1315/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
29. [InstructGEC: Enhancing Unsupervised Grammatical Error Correction with Instruction Tuning](https://aclanthology.org/2025.coling-main.9/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
30. [Introducing OmniGEC: A Silver Multilingual Dataset for Grammatical Error Correction](https://aclanthology.org/2025.unlp-1.17/) *— 2025 · Proceedings of the Fourth Ukrainian Natural Language Processing Workshop (UNLP 2025)*
31. [LLMs in alliance with Edit-based models: advancing In-Context Learning for Grammatical Error Correction by Specific Example Selection](https://aclanthology.org/2025.bea-1.38/) *— 2025 · Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025)*
32. [Large Language Models are Good Annotators for Type-aware Data Augmentation in Grammatical Error Correction](https://aclanthology.org/2025.coling-main.14/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
33. [Leveraging LLMs for Bangla Grammar Error Correction: Error Categorization, Synthetic Data, and Model Evaluation](https://aclanthology.org/2025.findings-acl.431/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
34. [Multilingual Grammatical Error Annotation: Combining Language-Agnostic Framework with Language-Specific Flexibility](https://aclanthology.org/2025.bea-1.15/) *— 2025 · Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025)*
35. [Reliability Crisis of Reference-free Metrics for Grammatical Error Correction](https://aclanthology.org/2025.findings-emnlp.1356/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
36. [Targeted Syntactic Evaluation for Grammatical Error Correction](https://md.mova.elamur.ai/free/en/docs/papers/koyama-2025-targeted-syntactic-evaluation-grammatical-error/) *— our card · 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
37. [The MultiGEC-2025 Shared Task on Multilingual Grammatical Error Correction at NLP4CALL](https://aclanthology.org/2025.nlp4call-1.1/) *— 2025 · Proceedings of the 14th Workshop on Natural Language Processing for Computer Assisted Language Learning*
38. [Unified Automated Essay Scoring and Grammatical Error Correction](https://aclanthology.org/2025.findings-naacl.250/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
39. [UniversalCEFR: Enabling Open Multilingual Research on Language Proficiency Assessment](https://aclanthology.org/2025.emnlp-main.491/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
40. [VisCGEC: Benchmarking the Visual Chinese Grammatical Error Correction](https://aclanthology.org/2025.naacl-long.261/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
41. [A Methodology for Generative Spelling Correction via Natural Spelling Errors Emulation across Multiple Domains and Languages](https://aclanthology.org/2024.findings-eacl.10/) *— 2024 · Findings of the Association for Computational Linguistics: EACL 2024*
42. [Correcting Challenging Finnish Learner Texts With Claude, GPT-3.5 and GPT-4 Large Language Models](https://aclanthology.org/2024.wnut-1.1/) *— 2024 · Proceedings of the Ninth Workshop on Noisy and User-generated Text (W-NUT 2024)*
43. [Detection-Correction Structure via General Language Model for Grammatical Error Correction](https://aclanthology.org/2024.acl-long.96/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
44. [EXCGEC: A Benchmark for Edit-Wise Explainable Chinese Grammatical Error Correction](https://arxiv.org/abs/2407.00924) *— 2024 · arXiv:2407.00924*
45. [Efficient and Interpretable Grammatical Error Correction with Mixture of Experts](https://aclanthology.org/2024.findings-emnlp.997/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
46. [Evaluating Prompting Strategies for Grammatical Error Correction Based on Language Proficiency](https://aclanthology.org/2024.lrec-main.569/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
47. [Evaluating the Generalisation of an Artificial Learner](https://aclanthology.org/2024.nlp4call-1.15/) *— 2024 · Proceedings of the 13th Workshop on Natural Language Processing for Computer Assisted Language Learning*
48. [GEE! Grammar Error Explanation with Large Language Models](https://aclanthology.org/2024.findings-naacl.49/) *— 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
49. [Grammatical Error Correction for Code-Switched Sentences by Learners of English](https://aclanthology.org/2024.lrec-main.698/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
50. [Improving Grammatical Error Correction by Correction Acceptability Discrimination](https://aclanthology.org/2024.lrec-main.772/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
51. [Improving Grammatical Error Correction via Contextual Data Augmentation](https://aclanthology.org/2024.findings-acl.647/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
52. [LLM-based Code-Switched Text Generation for Grammatical Error Correction](https://aclanthology.org/2024.emnlp-main.942/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
53. [Large language models for education: A survey and outlook](https://arxiv.org/abs/2403.18105) *— 2024*
54. [LongForm: Effective Instruction Tuning with Reverse Instructions](https://aclanthology.org/2024.findings-emnlp.414/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
55. [No Error Left Behind: Multilingual Grammatical Error Correction with Pre-trained Translation Models](https://aclanthology.org/2024.eacl-long.73/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
56. [Pillars of Grammatical Error Correction: Comprehensive Inspection Of Contemporary Approaches In The Era of Large Language Models](https://aclanthology.org/2024.bea-1.3/) *— 2024 · Proceedings of the 19th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2024)*
57. [Prompting open-source and commercial language models for grammatical error correction of English learner text](https://aclanthology.org/2024.findings-acl.711/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
58. [Revisiting Meta-evaluation for Grammatical Error Correction](https://aclanthology.org/2024.tacl-1.47/) *— 2024*
59. [Semantic Error Prediction: Estimating Word Production Complexity](https://aclanthology.org/2024.nlp4call-1.16/) *— 2024 · Proceedings of the 13th Workshop on Natural Language Processing for Computer Assisted Language Learning*
60. [Small Language Models Improve Giants by Rewriting Their Outputs](https://aclanthology.org/2024.eacl-long.165/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
61. [Speak & Improve Challenge 2025: Tasks and Baseline Systems](https://arxiv.org/abs/2412.11985) *— 2024 · arXiv:2412.11985*
62. [Speak & Improve Corpus 2025: an L2 English Speech Corpus for Language Assessment and Feedback](https://arxiv.org/abs/2412.11986) *— 2024 · arXiv:2412.11986*
63. [Teaching Llama a New Language Through Cross-Lingual Knowledge Transfer](https://aclanthology.org/2024.findings-naacl.210/) *— 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
64. [To Ask LLMs about English Grammaticality, Prompt Them in a Different Language](https://aclanthology.org/2024.findings-emnlp.916/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
65. [Towards Automated Document Revision: Grammatical Error Correction, Fluency Edits, and Beyond](https://aclanthology.org/2024.bea-1.21/) *— 2024 · Proceedings of the 19th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2024)*
66. [Ungrammatical-syntax-based In-context Example Selection for Grammatical Error Correction](https://aclanthology.org/2024.naacl-long.99/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
67. [Weaver: Foundation Models for Creative Writing](https://arxiv.org/abs/2401.17268) *— 2024 · arXiv:2401.17268*
68. [mEdIT: Multilingual Text Editing via Instruction Tuning](https://aclanthology.org/2024.naacl-long.56/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
69. [n-gram F-score for Evaluating Grammatical Error Correction](https://aclanthology.org/2024.inlg-main.25/) *— 2024 · Proceedings of the 17th International Natural Language Generation Conference*
70. [A Closer Look at k-Nearest Neighbors Grammatical Error Correction](https://aclanthology.org/2023.bea-1.19/) *— 2023 · Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023)*
71. [A distantly supervised Grammatical Error Detection/Correction system for Swedish](https://aclanthology.org/2023.nlp4call-1.4/) *— 2023 · Proceedings of the 12th Workshop on NLP for Computer Assisted Language Learning*
72. [Advancements in Arabic Grammatical Error Detection and Correction: An Empirical Investigation](https://aclanthology.org/2023.emnlp-main.396/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
73. [An Extended Sequence Tagging Vocabulary for Grammatical Error Correction](https://aclanthology.org/2023.findings-eacl.119/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
74. [Analyzing the Performance of GPT-3.5 and GPT-4 in Grammatical Error Correction](https://arxiv.org/abs/2303.14342) *— 2023 · arXiv:2303.14342*
75. [Beyond English: Evaluating LLMs for Arabic Grammatical Error Correction](https://aclanthology.org/2023.arabicnlp-1.9/) *— 2023 · Proceedings of ArabicNLP 2023*
76. [Bidirectional Transformer Reranker for Grammatical Error Correction](https://aclanthology.org/2023.findings-acl.234/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
77. [CS2W: A Chinese Spoken-to-Written Style Conversion Dataset with Multiple Conversion Types](https://aclanthology.org/2023.emnlp-main.241/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
78. [ChatGPT or Grammarly? Evaluating ChatGPT on Grammatical Error Correction Benchmark](https://arxiv.org/abs/2303.13648) *— 2023 · arXiv:2303.13648*
79. [CoEdIT: Text Editing by Task-Specific Instruction Tuning](https://aclanthology.org/2023.findings-emnlp.350/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
80. [Comparative Study of Models Trained on Synthetic Data for Ukrainian Grammatical Error Correction](https://aclanthology.org/2023.unlp-1.13/) *— 2023 · Proceedings of the Second Ukrainian Natural Language Processing Workshop (UNLP)*
81. [Comprehensive Evaluation of Translation Error Correction Models](https://aclanthology.org/2023.paclic-1.86/) *— 2023 · Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation*
82. [ELQA: A Corpus of Metalinguistic Questions and Answers about English](https://aclanthology.org/2023.acl-long.113/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
83. [Efficient Grammatical Error Correction Via Multi-Task Training and Optimized Training Schedule](https://aclanthology.org/2023.emnlp-main.355/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
84. [EliCoDe at MultiGED2023: fine-tuning XLM-RoBERTa for multilingual grammatical error detection](https://aclanthology.org/2023.nlp4call-1.3/) *— 2023 · Proceedings of the 12th Workshop on NLP for Computer Assisted Language Learning*
85. [Enhancing Grammatical Error Correction Systems with Explanations](https://aclanthology.org/2023.acl-long.413/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
86. [Evaluation Metrics in the Era of GPT-4: Reliably Evaluating Large Language Models on Sequence to Sequence Tasks](https://aclanthology.org/2023.emnlp-main.543/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
87. [Experiments on Automatic Error Detection and Correction for Uruguayan Learners of English](https://aclanthology.org/2023.nlp4call-1.6/) *— 2023 · Proceedings of the 12th Workshop on NLP for Computer Assisted Language Learning*
88. [Exploring Effectiveness of GPT-3 in Grammatical Error Correction: A Study on Performance and Controllability in Prompt-Based Methods](https://aclanthology.org/2023.bea-1.18/) *— 2023 · Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023)*
89. [Focal Training and Tagger Decouple for Grammatical Error Correction](https://aclanthology.org/2023.findings-acl.370/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
90. [GEC-DePenD: Non-Autoregressive Grammatical Error Correction with Decoupled Permutation and Decoding](https://aclanthology.org/2023.acl-long.86/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
91. [GECTurk: Grammatical Error Correction and Detection Dataset for Turkish](https://aclanthology.org/2023.findings-ijcnlp.26/) *— 2023 · Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023 (Findings)*
92. [Gender-Inclusive Grammatical Error Correction through Augmentation](https://aclanthology.org/2023.bea-1.13/) *— 2023 · Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023)*
93. [Grammatical Error Correction via Mixed-Grained Weighted Training](https://aclanthology.org/2023.findings-emnlp.400/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
94. [Grammatical Error Correction: A Survey of the State of the Art](https://aclanthology.org/2023.cl-3.4/) *— 2023*
95. [Improving Autoregressive Grammatical Error Correction with Non-autoregressive Models](https://aclanthology.org/2023.findings-acl.760/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
96. [Improving Seq2Seq Grammatical Error Correction via Decoding Interventions](https://aclanthology.org/2023.findings-emnlp.495/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
97. [Is ChatGPT a Highly Fluent Grammatical Error Correction System? A Comprehensive Evaluation](https://arxiv.org/abs/2304.01746) *— 2023 · arXiv:2304.01746*
98. [LET: Leveraging Error Type Information for Grammatical Error Correction](https://aclanthology.org/2023.findings-acl.371/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
99. [Minimum Bayes' Risk Decoding for System Combination of Grammatical Error Correction Systems](https://aclanthology.org/2023.ijcnlp-short.12/) *— 2023 · Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 2: Short Papers)*
100. [Mitigating Exposure Bias in Grammatical Error Correction with Data Augmentation and Reweighting](https://aclanthology.org/2023.eacl-main.155/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*

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