An Analysis of Language Frequency and Error Correction for Esperanto

arXiv:2402.09696 · cs.CL · Submitted 2026-08-17 · Read on arXiv

Junhong Liang

cs.CL

Submitted: 2026-08-17

Updated: 2026-08-19

Code: https://github.com/chrisjbryant/errant

Terminology

• Part of Speech — 11× in this paper
• Low-Resource Languages — 6× in this paper · explained in 4 episodes
• Alignment — 3× in this paper · explained in 1 episode
• Current Grammar Error Correction — 3× in this paper
• Large Language Models (LLMs) — 2× in this paper · explained in 6 episodes
• Natural Language Processing — 2× in this paper
• Accuracy — 1× in this paper · explained in 1 episode
• Consistency — 1× in this paper · explained in 3 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Robustness — 1× in this paper · explained in 5 episodes

Sources

• Punctuation effects in English and Esperanto texts
• Using Multiple Subwords to Improve English-Esperanto Automated Literary Translation Quality
• Word Translation Without Parallel Data
• BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
• GECToR -- Grammatical Error Correction: Tag, Not Rewrite
• GEE! Grammar Error Explanation with Large Language Models

Related papers

• Exploring Solution Divergence and Its Effect on Large Language Model Problem Solving
• Ishigaki-IDS-Bench: A Benchmark for Generating Information Delivery Specification from BIM Information Requirements
• Subliminal Steering: Stronger Encoding of Hidden Signals
• MedStruct-S: A Benchmark for Key Discovery, Key-Conditioned QA and Semi-Structured Extraction from OCR Clinical Reports
• The End of Transformers? On Challenging Attention and the Rise of Sub-Quadratic Architectures
• Untangling the Mechanisms of Misleading Context in Medical Question Answering