← Back to papers
2020 AACL AACL 2020

Non-Autoregressive Grammatical Error Correction Toward a Writing Support System

Abstract

AbstractThere are several problems in applying grammatical error correction (GEC) to a writing support system. One of them is the handling of sentences in the middle of the input. Till date, the performance of GEC for incomplete sentences is not well-known. Hence, we analyze the performance of each model for incomplete sentences. Another problem is the correction speed. When the speed is slow, the usability of the system is limited, and the user experience is degraded. Therefore, in this study, we also focus on the non-autoregressive (NAR) model, which is a widely studied fast decoding method. We perform GEC in Japanese with traditional autoregressive and recent NAR models and analyze their accuracy and speed.

🚀 Conference Pioneer — AACL 2020
🌉 Interdisciplinary Bridge — Deep Learning and Machine Learning and Natural Language Processing
🧭 Keyword Pioneer — japanese language
🐝 Cross-Pollinator — Artificial Intelligence, Computer Vision, Deep Learning, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Speech & Audio
🐣 Hot Topic Early Bird — japanese language

Authors

Hiroki Homma , Mamoru Komachi

Topics

Deep Learning > Architectures > Transformers Natural Language Processing > Applications Machine Learning > Learning Types > Supervised Learning Natural Language Processing > Applications > Text Generation Machine Learning > Learning Types > Evaluation Deep Learning > Learning Types > Deep Learning

Keywords

machine translation grammatical error correction japanese language non-autoregressive model writing support system text correction writing support
Download PDF

Related papers

Can Monolingual Pretrained Models Help Cross-Lingual Classification? 2020
Text Simplification with Reinforcement Learning Using Supervised Rewards on Grammaticality, Meaning Preservation, and Simplicity 2020
ISA: An Intelligent Shopping Assistant 2020
Social Media Medical Concept Normalization using RoBERTa in Ontology Enriched Text Similarity Framework 2020
Overcoming Resistance: The Normalization of an Amazonian Tribal Language 2020