Improving grammatical error correction with multimodal feature integration
Grammatical error correction (GEC) is a promising task aimed at correcting errors in a text.
Many methods have been proposed to facilitate this task with remarkable results. However …
Many methods have been proposed to facilitate this task with remarkable results. However …
Revisiting Meta-evaluation for Grammatical Error Correction
Metrics are the foundation for automatic evaluation in grammatical error correction (GEC),
with their evaluation of the metrics (meta-evaluation) relying on their correlation with human …
with their evaluation of the metrics (meta-evaluation) relying on their correlation with human …
kNN-TL: k-nearest-neighbor transfer learning for low-resource neural machine translation
Transfer learning has been shown to be an effective technique for enhancing the
performance of low-resource neural machine translation (NMT). This is typically achieved …
performance of low-resource neural machine translation (NMT). This is typically achieved …
Survey of Natural Language Processing for Education: Taxonomy, Systematic Review, and Future Trends
Natural Language Processing (NLP) aims to analyze the text via techniques in the computer
science field. It serves the applications in healthcare, commerce, and education domains …
science field. It serves the applications in healthcare, commerce, and education domains …
Improving Grammatical Error Correction via Contextual Data Augmentation
Nowadays, data augmentation through synthetic data has been widely used in the field of
Grammatical Error Correction (GEC) to alleviate the problem of data scarcity. However …
Grammatical Error Correction (GEC) to alleviate the problem of data scarcity. However …
Multilingual Grammatical Error Detection And Its Applications to Prompt-Based Correction
G Sutter Pessurno de Carvalho - 2024 - uwspace.uwaterloo.ca
Grammatical Error Correction (GEC) and Grammatical Error Correction (GED) are two
important tasks in the study of writing assistant technologies. Given an input sentence, the …
important tasks in the study of writing assistant technologies. Given an input sentence, the …
Exploiting paraphrasers and inverse paraphrasers: A novel approach to enhance english writing fluency through improved style transfer training data
Z Du, K Hashimoto - Proceedings of the 2023 7th International …, 2023 - dl.acm.org
In the realm of enhancing English writing fluency, the scarcity of high-quality training data
has perennially posed a significant challenge. Moreover, elevating the fluency of writing …
has perennially posed a significant challenge. Moreover, elevating the fluency of writing …
Clustering Pseudo Language Family in Multilingual Translation Models with Fisher Information Matrix
In multilingual translation research, the comprehension and utilization of language families
are of paramount importance. Nevertheless, clustering languages based solely on their …
are of paramount importance. Nevertheless, clustering languages based solely on their …
Ungrammatical-syntax-based In-context Example Selection for Grammatical Error Correction
C Tang, F Qu, Y Wu - arXiv preprint arXiv:2403.19283, 2024 - arxiv.org
In the era of large language models (LLMs), in-context learning (ICL) stands out as an
effective prompting strategy that explores LLMs' potency across various tasks. However …
effective prompting strategy that explores LLMs' potency across various tasks. However …
Detection-Correction Structure via General Language Model for Grammatical Error Correction
W Li, H Wang - arXiv preprint arXiv:2405.17804, 2024 - arxiv.org
Grammatical error correction (GEC) is a task dedicated to rectifying texts with minimal edits,
which can be decoupled into two components: detection and correction. However, previous …
which can be decoupled into two components: detection and correction. However, previous …