ViSoLex: An Open-Source Repository for Vietnamese Social Media Lexical Normalization

Fuente: arXiv
Salvato in:
Dettagli Bibliografici
Autori principali: Nguyen, Anh Thi-Hoang, Nguyen, Dung Ha, Van Nguyen, Kiet
Natura: Preprint
Pubblicazione: 2025
Soggetti:
Accesso online:
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
_version_ 1866917891156213760
author Nguyen, Anh Thi-Hoang
Nguyen, Dung Ha
Van Nguyen, Kiet
author_facet Nguyen, Anh Thi-Hoang
Nguyen, Dung Ha
Van Nguyen, Kiet
contents ViSoLex is an open-source system designed to address the unique challenges of lexical normalization for Vietnamese social media text. The platform provides two core services: Non-Standard Word (NSW) Lookup and Lexical Normalization, enabling users to retrieve standard forms of informal language and standardize text containing NSWs. ViSoLex's architecture integrates pre-trained language models and weakly supervised learning techniques to ensure accurate and efficient normalization, overcoming the scarcity of labeled data in Vietnamese. This paper details the system's design, functionality, and its applications for researchers and non-technical users. Additionally, ViSoLex offers a flexible, customizable framework that can be adapted to various datasets and research requirements. By publishing the source code, ViSoLex aims to contribute to the development of more robust Vietnamese natural language processing tools and encourage further research in lexical normalization. Future directions include expanding the system's capabilities for additional languages and improving the handling of more complex non-standard linguistic patterns.
format Preprint
id arxiv_https___arxiv_org_abs_2501_07020
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle ViSoLex: An Open-Source Repository for Vietnamese Social Media Lexical Normalization
Nguyen, Anh Thi-Hoang
Nguyen, Dung Ha
Van Nguyen, Kiet
Computation and Language
Artificial Intelligence
ViSoLex is an open-source system designed to address the unique challenges of lexical normalization for Vietnamese social media text. The platform provides two core services: Non-Standard Word (NSW) Lookup and Lexical Normalization, enabling users to retrieve standard forms of informal language and standardize text containing NSWs. ViSoLex's architecture integrates pre-trained language models and weakly supervised learning techniques to ensure accurate and efficient normalization, overcoming the scarcity of labeled data in Vietnamese. This paper details the system's design, functionality, and its applications for researchers and non-technical users. Additionally, ViSoLex offers a flexible, customizable framework that can be adapted to various datasets and research requirements. By publishing the source code, ViSoLex aims to contribute to the development of more robust Vietnamese natural language processing tools and encourage further research in lexical normalization. Future directions include expanding the system's capabilities for additional languages and improving the handling of more complex non-standard linguistic patterns.
title ViSoLex: An Open-Source Repository for Vietnamese Social Media Lexical Normalization
topic Computation and Language
Artificial Intelligence
url https://arxiv.org/abs/2501.07020