FreeTxt-Vi: A Benchmarked Vietnamese-English Toolkit for Segmentation, Sentiment, and Summarisation

TL;DR

FreeTxt-Vi is an open-source bilingual toolkit that combines corpus analysis and transformer-based NLP for Vietnamese-English text analysis, enabling accessible, reproducible research in underrepresented languages.

Contribution

It introduces a unified bilingual NLP pipeline with hybrid segmentation, sentiment analysis, and summarisation, evaluated to outperform existing baselines.

Findings

Achieves competitive or superior performance in segmentation, sentiment analysis, and summarisation.

Supports reproducible research and development of Vietnamese NLP resources.

Reduces technical barriers for multilingual text analysis.

Abstract

FreeTxt-Vi is a free and open source web based toolkit for creating and analysing bilingual Vietnamese English text collections. Positioned at the intersection of corpus linguistics and natural language processing NLP it enables users to build explore and interpret free text data without requiring programming expertise. The system combines corpus analysis features such as concordancing keyword analysis word relation exploration and interactive visualisation with transformer based NLP components for sentiment analysis and summarisation. A key contribution of this work is the design of a unified bilingual NLP pipeline that integrates a hybrid VnCoreNLP and Byte Pair Encoding BPE segmentation strategy a fine tuned TabularisAI sentiment classifier and a fine tuned Qwen2.5 model for abstractive summarisation. Unlike existing text analysis platforms FreeTxt Vi is evaluated as a set of language processing components. We conduct a three part evaluation covering segmentation sentiment analysis and summarisation and show that our approach achieves competitive or superior performance compared to widely used baselines in both Vietnamese and English. By reducing technical barriers to multilingual text analysis FreeTxt Vi supports reproducible research and promotes the development of language resources for Vietnamese a widely spoken but underrepresented language in NLP. The toolkit is applicable to domains including education digital humanities cultural heritage and the social sciences where qualitative text data are common but often difficult to process at scale.