Recently, many studies have shown the efficiency of using B idirectional E ncoder R
epresentations from T ransformers (BERT) in various Natural Language Processing (NLP) …

Recently, many studies have shown the efficiency of using Bidirectional Encoder
Representations from Transformers (BERT) in various Natural Language Processing (NLP) …

In this paper, we propose a Hierarchical Transformer model for Vietnamese spelling
correction problem. The model consists of multiple Transformer encoders and utilizes both …

Common spelling checks in the current digital era have trouble reading languages such as
Bengali, which employ English letters differently. In response, we have created a better …

In this article, we propose a system called “UTTAM,” for correcting spelling errors in Hindi
language text using supervised learning. Unlike other languages, Hindi contains a large set …

Spelling correction plays an important role when applied in complex NLP-based
applications and pipelines. Many of the existing models and techniques are developed to …

Spell checker is a crucial language tool of natural language processing (NLP) and becomes
important due to the increase of text-based communication at work, information retrieval …

Spelling correction is a fundamental aspect of natural language processing systems,
essential for ensuring the accuracy and fluency of text-based applications. In the context of …

Spelling correction is considered a challenging task for resource-scarce languages. The
Arabic language is one of these resource-scarce languages, which suffers from the absence …

Spelling error correction is one of topics which have a long history in natural language
processing. Although previous studies have achieved remarkable results, challenges still …