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

TL;DR

ViSoLex is an open-source platform that facilitates Vietnamese social media lexical normalization using pre-trained models and weakly supervised learning, aiding researchers and developers.

Contribution

It introduces a flexible, customizable system for Vietnamese lexical normalization that combines NSW lookup and normalization services, addressing data scarcity issues.

Findings

Effective normalization of Vietnamese social media text

Integration of pre-trained models improves accuracy

Open-source framework encourages further research

Abstract

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.