State-of-the-art approaches to spelling error correction problem include Transformer-based
Seq2Seq models, which require large training sets and suffer from slow inference time; and …

Chinese spelling correction (CSC) is a challenging task with the goal of correcting each
wrong character in Chinese texts. Incorrect characters in a Chinese text are mainly due to …

In this paper, we implement a Turkish spelling correction system using sequence to
sequence (seq2seq) deep neural networks (DNN). In the baseline system, the letters of the …

Abstract Chinese Spelling Correction (CSC) is a challenging task that requires the ability to
model the language and capture the implicit pattern of spelling error generation. In this …

Chinese Spelling Check (CSC) aims to detect and correct potentially misspelled characters
in Chinese sentences. Naturally, it involves the detection and correction subtasks, which …

Chinese Spelling Error Correction is a hot subject in the field of natural language
processing. Researchers have already produced many great solutions, from the initial rule …

Spelling correction is the task of identifying spelling mistakes, typos, and grammatical
mistakes in a given text and correcting them according to their context and grammatical …

This study aims to solve the context-sensitive spelling error problem for English documents.
There are two types of spelling errors in English: non-word spelling errors and context …

Chinese spelling correction (CSC), which is designed to detect and correct typos in the text,
is an important and challenging task that has attracted increasing attention. Current CSC …

Autonomous spelling correction and suggestion generation for any language is a tough task
since the system must grasp context or it will create a negative impression. Our goal is to …