In this article, we make use of sequence-to-sequence (seq2seq) models for spelling
correction in the agglutinative Turkish language. In the baseline system, misspelled and …

Spell Correction is a widely referred problem in natural language processing. Since spelling
errors prevent perfect transmission of the author's intended concepts to the audience, writers …

The lack of label data is one of the significant bottlenecks for Chinese Spelling Check.
Existing researches use the automatic generation method by exploiting unlabeled data to …

Chinese spell checkers are more difficult to develop because of two language features: 1)
there are no word boundaries, and a character may function as a word or a word morpheme; …

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 …

A sequence-to-sequence learning with neural networks has empirically proven to be an
effective framework for Chinese Spelling Correction (CSC), which takes a sentence with …

Abstract We describe the Nara Institute of Science and Technology (NAIST) spelling check
system in the shared task. Our system contains three components: a word segmentation …

Chinese Spelling Correction (CSC) is a challenging and essential task in natural language
processing. In this study, we introduces a new method for Chinese Spelling Correction …

Two new methods for improving Chinese spelling correction are proposed. The first one is to
add Gaussian Bias matrices to the Transformer's attention mechanism, which is used to …

Chinese spelling check is an automatic mechanism to detect Chinese spelling errors in the
text. State-of-the-art Chinese Spelling Check systems using bidirectional LSTM, which does …