Improving Chinese spell checking with bidirectional LSTMs and confusionset-based decision network

C Ma, M Hu, J Peng, C Zheng, Q Xu - Neural Computing and Applications, 2023 - Springer
Chinese spell checking is a task to detect and correct Chinese spelling errors, which is very
important for natural language understanding. Generally, studies on Chinese spell checking …

Crossing linguistic horizons: Finetuning and comprehensive evaluation of vietnamese large language models

ST Truong, DQ Nguyen, T Nguyen, DD Le… - arXiv preprint arXiv …, 2024 - arxiv.org
Recent advancements in large language models (LLMs) have underscored their importance
in the evolution of artificial intelligence. However, despite extensive pretraining on …

A Transformer-based Educational Virtual Assistant Using Diacriticized Latin Script

KN Lam, LH Nguy, J Kalita - IEEE Access, 2023 - ieeexplore.ieee.org
A virtual assistant or smart chatbot should be able to understand user questions and
respond correctly and usefully, even if the questions are posed ungrammatically with …

A vietnamese spelling correction system

TH Nguyen, T Pham, KM Le, M Luong… - … Proceedings of the …, 2023 - dl.acm.org
This paper presents a new Vietnamese spelling correction system that allows users to
correct spelling errors in their text. Our system is an interactive writing assistant that …

ViLexNorm: A Lexical Normalization Corpus for Vietnamese Social Media Text

TN Nguyen, TP Le, K Van Nguyen - arXiv preprint arXiv:2401.16403, 2024 - arxiv.org
Lexical normalization, a fundamental task in Natural Language Processing (NLP), involves
the transformation of words into their canonical forms. This process has been proven to …

Automatic Textual Normalization for Hate Speech Detection

ATH Nguyen, DH Nguyen, NT Nguyen, KTD Ho… - … on Intelligent Systems …, 2023 - Springer
Social media data is a valuable resource for research, yet it contains a wide range of non-
standard words (NSW). These irregularities hinder the effective operation of NLP tools …

A New Method for Vietnamese Text Correction using Sequence Tagging Models

TB Thi, HLN Hoang, HN Thi… - 2023 15th International …, 2023 - ieeexplore.ieee.org
In this paper, we present a new approach for Vietnamese text error correction. A corrector
consists of a Transformer to encode the input sequence, and sequence tag-gers to perform …

Deep Learning-Based Preprocessing Tools for Turkish Natural Language Processing

B Ak, T Güngör - International Conference on Deep Learning Theory …, 2024 - Springer
As the demand for effective natural language processing applications in Turkish continues to
rise, the need for text preprocessing tools tailored to the Turkish language increases. These …

Understanding Tieq Viet with Deep Learning Models

NH Thanh - arXiv preprint arXiv:2207.00975, 2022 - arxiv.org
Deep learning is a powerful approach in recovering lost information as well as harder
inverse function computation problems. When applied in natural language processing, this …

Vietnamese Electronic Medical Record Management with Text Preprocessing for Spelling Errors

K Tran, A Nguyen, C Vo… - 2022 9th NAFOSTED …, 2022 - ieeexplore.ieee.org
With an important development of information technology, electronic medical records
(EMRs) play a crucial role in medicine and its related fields such as pharmacology …