ViSoLex: An Open-Source Repository for Vietnamese Social Media Lexical Normalization
This addresses lexical normalization for Vietnamese social media users and researchers, but it is incremental as it builds on existing methods for a specific language domain.
The paper tackles lexical normalization for Vietnamese social media text by introducing ViSoLex, an open-source system that provides lookup and normalization services, but no concrete performance numbers are reported.
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.