# Vietnamese Capitalization and Punctuation Recovery Models

arXiv: https://arxiv.org/abs/2207.01312 · HTML: https://mlsanity.com/paper/2207.01312/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 14 of its 32 references that are in the map.
- First posted on arXiv 4 Jul 2022.

## Builds on (most cited first, 14 of 14)

- [Attention Is All You Need](https://mlsanity.com/paper/1706.03762/) (2017)
- [BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding](https://mlsanity.com/paper/1810.04805/) (2018)
- [PyTorch: An Imperative Style, High-Performance Deep Learning Library](https://mlsanity.com/paper/1912.01703/) (2019)
- [RoBERTa: A Robustly Optimized BERT Pretraining Approach](https://mlsanity.com/paper/1907.11692/) (2019)
- [Efficient Estimation of Word Representations in Vector Space](https://mlsanity.com/paper/1301.3781/) (2013)
- [Unsupervised Cross-lingual Representation Learning at Scale](https://mlsanity.com/paper/1911.02116/) (2019)
- [Enriching Word Vectors with Subword Information](https://mlsanity.com/paper/1607.04606/) (2016)
- [Improving Sequence Tagging for Vietnamese Text Using Transformer-based Neural Models](https://mlsanity.com/paper/2006.15994/) (2020)
- [Punctuation Prediction Model for Conversational Speech](https://mlsanity.com/paper/1807.00543/) (2018)
- [Robust Prediction of Punctuation and Truecasing for Medical ASR](https://mlsanity.com/paper/2007.02025/) (2020)
- [Fast and Accurate Capitalization and Punctuation for Automatic Speech Recognition Using Transformer and Chunk Merging](https://mlsanity.com/paper/1908.02404/) (2019)
- [Improving Vietnamese Named Entity Recognition from Speech Using Word Capitalization and Punctuation Recovery Models](https://mlsanity.com/paper/2010.00198/) (2020)
- [Joint Learning of Correlated Sequence Labelling Tasks Using Bidirectional Recurrent Neural Networks](https://mlsanity.com/paper/1703.04650/) (2017)
- [Fine-Tuning BERT for Sentiment Analysis of Vietnamese Reviews](https://mlsanity.com/paper/2011.10426/) (2020)

## Built on by (most cited first, 1 of 1)

- [Efficient Ensemble for Multimodal Punctuation Restoration using Time-Delay Neural Network](https://mlsanity.com/paper/2302.13376/) (2023)

## Abstract (arXiv)

Despite the rise of recent performant methods in Automatic Speech Recognition (ASR), such methods do not ensure proper casing and punctuation for their outputs. This problem has a significant impact on the comprehension of both Natural Language Processing (NLP) algorithms and human to process. Capitalization and punctuation restoration is imperative in pre-processing pipelines for raw textual inputs. For low resource languages like Vietnamese, public datasets for this task are scarce. In this paper, we contribute a public dataset for capitalization and punctuation recovery for Vietnamese; and propose a joint model for both tasks named JointCapPunc. Experimental results on the Vietnamese dataset show the effectiveness of our joint model compare to single model and previous joint learning model. We publicly release our dataset and the implementation of our model at https://github.com/anhtunguyen98/JointCapPunc
