Neural spelling correction: translating incorrect sentences to correct sentences for multimedia

• Published in: Multimedia tools and applications Vol. 80; no. 26-27; pp. 34591 - 34608
• Main Authors: Park, Chanjun, Kim, Kuekyeng, Yang, YeongWook, Kang, Minho, Lim, Heuiseok
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.11.2021; Springer Nature B.V
• Subjects: Computer Communication Networks; Computer Science; Data Structures and Information Theory; Error correction; Machine translation; Multimedia; Multimedia Information Systems; Performance assessment; Sentences; Special Purpose and Application-Based Systems; Spelling; Automatic noise generation; Copy mechanism; Korean spelling correction; Transformer; Overcorrection; Neural machine translation

The aim of a spelling correction task is to detect spelling errors and automatically correct them. In this paper we aim to perform the Korean spelling correction task from a machine translation perspective, allowing it to overcome the limitations of cost, time and data. Based on a sequence to sequen...