# A Fast and Accurate Vietnamese Word Segmenter

arXiv: https://arxiv.org/abs/1709.06307 · HTML: https://mlsanity.com/paper/1709.06307/

## Key facts

- Cited by 21 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 19 Sep 2017.

## Built on by (most cited first, 21 of 21)

- [BARTpho: Pre-trained Sequence-to-Sequence Models for Vietnamese](https://mlsanity.com/paper/2109.09701/) (2021)
- [Intent Detection and Slot Filling for Vietnamese](https://mlsanity.com/paper/2104.02021/) (2021)
- [COVID-19 Named Entity Recognition for Vietnamese](https://mlsanity.com/paper/2104.03879/) (2021)
- [XPhoneBERT: A Pre-trained Multilingual Model for Phoneme Representations for Text-to-Speech](https://mlsanity.com/paper/2305.19709/) (2023)
- [PhoMT: A High-Quality and Large-Scale Benchmark Dataset for Vietnamese-English Machine Translation](https://mlsanity.com/paper/2110.12199/) (2021)
- [ViTextVQA: A Large-Scale Visual Question Answering Dataset and a Novel Multimodal Feature Fusion Method for Vietnamese Text Comprehension in Images](https://mlsanity.com/paper/2404.10652/) (2024)
- [Improving Vietnamese-English Medical Machine Translation](https://mlsanity.com/paper/2403.19161/) (2024)
- [From Universal Language Model to Downstream Task: Improving RoBERTa-Based Vietnamese Hate Speech Detection](https://mlsanity.com/paper/2102.12162/) (2021)
- [Span Labeling Approach for Vietnamese and Chinese Word Segmentation](https://mlsanity.com/paper/2110.00156/) (2021)
- [A High-Quality and Large-Scale Dataset for English-Vietnamese Speech Translation](https://mlsanity.com/paper/2208.04243/) (2022)
- [From Disfluency Detection to Intent Detection and Slot Filling](https://mlsanity.com/paper/2209.08359/) (2022)
- [NOWJ1@ALQAC 2023: Enhancing Legal Task Performance with Classic Statistical Models and Pre-trained Language Models](https://mlsanity.com/paper/2309.09070/) (2023)
- [KTVIC: A Vietnamese Image Captioning Dataset on the Life Domain](https://mlsanity.com/paper/2401.08100/) (2024)
- [Augmenting Part-of-speech Tagging with Syntactic Information for Vietnamese and Chinese](https://mlsanity.com/paper/2102.12136/) (2021)
- [Automatic Post-Editing for Vietnamese](https://mlsanity.com/paper/2104.12128/) (2021)
- [Is word segmentation necessary for Vietnamese sentiment classification?](https://mlsanity.com/paper/2301.00418/) (2023)
- [Learning for Amalgamation: A Multi-Source Transfer Learning Framework For Sentiment Classification](https://mlsanity.com/paper/2303.09115/) (2023)
- [Nested Named-Entity Recognition on Vietnamese COVID-19: Dataset and Experiments](https://mlsanity.com/paper/2504.21016/) (2025)
- [ViQA-COVID: COVID-19 Machine Reading Comprehension Dataset for Vietnamese](https://mlsanity.com/paper/2504.21017/) (2025)
- [BamiBERT: A New BERT-based Language Model for Vietnamese](https://mlsanity.com/paper/2607.02259/) (2026)
- [Reading a Legal Question Word by Word: Embedding Trajectories of 2,144 Vietnamese Legal Headlines](https://mlsanity.com/paper/2609.08372/) (2026)

## Abstract (arXiv)

We propose a novel approach to Vietnamese word segmentation. Our approach is based on the Single Classification Ripple Down Rules methodology (Compton and Jansen, 1990), where rules are stored in an exception structure and new rules are only added to correct segmentation errors given by existing rules. Experimental results on the benchmark Vietnamese treebank show that our approach outperforms previous state-of-the-art approaches JVnSegmenter, vnTokenizer, DongDu and UETsegmenter in terms of both accuracy and performance speed. Our code is open-source and available at: https://github.com/datquocnguyen/RDRsegmenter.