Survey of automatic spelling correction
Automatic spelling correction has been receiving sustained research attention. Although
each article contains a brief introduction to the topic, there is a lack of work that would …
each article contains a brief introduction to the topic, there is a lack of work that would …
Correcting spelling mistakes in Persian texts with rules and deep learning methods
S Kasmaiee, S Kasmaiee, M Homayounpour - Scientific Reports, 2023 - nature.com
This study aims to develop a system for automatically correcting spelling errors in Persian
texts using two approaches: one that relies on rules and a common spelling mistake list and …
texts using two approaches: one that relies on rules and a common spelling mistake list and …
Systematic review of spell-checkers for highly inflectional languages
S Singh, S Singh - Artificial Intelligence Review, 2020 - Springer
Performance of any word processor, search engine, social media relies heavily on the spell-
checkers, grammar checkers etc. Spell-checkers are the language tools which break down …
checkers, grammar checkers etc. Spell-checkers are the language tools which break down …
Development of bangla spell and grammar checkers: Resource creation and evaluation
A spell and grammar checker is profoundly essential for diverse publications especially for
Bangla language in particular as it is spoken by millions of native speakers around the …
Bangla language in particular as it is spoken by millions of native speakers around the …
HINDIA: a deep-learning-based model for spell-checking of Hindi language
S Singh, S Singh - Neural Computing and Applications, 2021 - Springer
The spelling error is a mistake occurred while typing the text document. The applications like
search engines, information retrieval, emails, etc., require user typing. In such applications …
search engines, information retrieval, emails, etc., require user typing. In such applications …
Offline HWR Accuracy Enhancement with Image Enhancement and Deep Learning Techniques
A Kumar, PB Pati - Procedia Computer Science, 2023 - Elsevier
Handwriting recognition (HWR) is the ability of a machine to recognize handwritten text
present in images, scanned or photographed. While much of the work reported in this field …
present in images, scanned or photographed. While much of the work reported in this field …
Multi-head Attention Based Bidirectional LSTM for Spelling Error Detection in the Indonesian Language
Spelling errors in textual content may significantly hinder communication and
comprehension, particularly in formal writing, such as news or reports. Thus, it becomes …
comprehension, particularly in formal writing, such as news or reports. Thus, it becomes …
Accuracy Comparison of Neural Models for Spelling Correction in Handwriting OCR Data
In the present scenario, Handwriting Recognition (HWR) plays a very important role as due
to current pandemic situations most of the exams are conducted in online mode. In HWR the …
to current pandemic situations most of the exams are conducted in online mode. In HWR the …
Adaptive cognitive intelligence in analyzing employee feedback using LSTM
R Dhanalakshmi, T Sri Devi - Journal of Intelligent & Fuzzy …, 2020 - content.iospress.com
Cognitive computing is the mirroring of human brain and this is made possible by using
natural language processing, pattern recognition and data mining. By mirroring the human …
natural language processing, pattern recognition and data mining. By mirroring the human …
A transformer-based spelling error correction framework for Bangla and resource scarce Indic languages
Spelling error correction is the task of identifying and rectifying misspelled words in texts. It is
a potential and active research topic in Natural Language Processing because of numerous …
a potential and active research topic in Natural Language Processing because of numerous …