An Analysis of Langauge Frequency and Error Correction for Esperanto

arXiv:2402.09696v1 Announce Type: new
Abstract: Current Grammar Error Correction (GEC) initiatives tend to focus on major languages, with less attention given to low-resource languages like Esperanto. In this article, we begin to bridge this gap by first conducting a comprehensive frequency analysis using the Eo-GP dataset, created explicitly for this purpose. We then introduce the Eo-GEC dataset, derived from authentic user cases and annotated with fine-grained linguistic details for error identification. Leveraging GPT-3.5 and GPT-4, our experiments show that GPT-4 …

abstract analysis article arxiv attention bridge cs.cl current dataset error error correction focus gap gec grammar grammar error correction languages low major type