2 citations · 8 across the 11 of their papers we have counts for
11 papers
BamiBERT: A New BERT-based Language Model for Vietnamese
Dat Quoc Nguyen, Thinh Pham, Chi Tran +1
In this paper, we introduce BamiBERT, a new BERT-based pre-trained language model for Vietnamese that addresses key limitations of PhoBERT -- the current de facto Vietnamese text e…
Vietnamese Automatic Speech Recognition: A Revisit
Thi Vu, Linh The Nguyen, Dat Quoc Nguyen
Automatic Speech Recognition (ASR) performance is heavily dependent on the availability of large-scale, high-quality datasets. For low-resource languages, existing open-source ASR…
AccurateRAG: A Framework for Building Accurate Retrieval-Augmented Question-Answering Applications
Linh The Nguyen, Chi Tran, Dung Ngoc Nguyen +3
We introduce AccurateRAG -- a novel framework for constructing high-performance question-answering applications based on retrieval-augmented generation (RAG). Our framework offers…
Zero-Shot Text-to-Speech for Vietnamese
Thi Vu, Linh The Nguyen, Dat Quoc Nguyen
This paper introduces PhoAudiobook, a newly curated dataset comprising 941 hours of high-quality audio for Vietnamese text-to-speech. Using PhoAudiobook, we conduct experiments on…
PhoWhisper: Automatic Speech Recognition for Vietnamese
Thanh-Thien Le, Linh The Nguyen, Dat Quoc Nguyen
We introduce PhoWhisper in five versions for Vietnamese automatic speech recognition. PhoWhisper's robustness is achieved through fine-tuning the Whisper model on an 844-hour datas…
PhoGPT: Generative Pre-training for Vietnamese
Dat Quoc Nguyen, Linh The Nguyen, Chi Tran +3
We open-source a state-of-the-art 4B-parameter generative model series for Vietnamese, which includes the base pre-trained monolingual model PhoGPT-4B and its chat variant, PhoGPT-…
XPhoneBERT: A Pre-trained Multilingual Model for Phoneme Representations for Text-to-Speech
Linh The Nguyen, Thinh Pham, Dat Quoc Nguyen
We present XPhoneBERT, the first multilingual model pre-trained to learn phoneme representations for the downstream text-to-speech (TTS) task. Our XPhoneBERT has the same model arc…
A High-Quality and Large-Scale Dataset for English-Vietnamese Speech Translation
Linh The Nguyen, Nguyen Luong Tran, Long Doan +2
In this paper, we introduce a high-quality and large-scale benchmark dataset for English-Vietnamese speech translation with 508 audio hours, consisting of 331K triplets of (sentenc…
PhoMT: A High-Quality and Large-Scale Benchmark Dataset for Vietnamese-English Machine Translation
Long Doan, Linh The Nguyen, Nguyen Luong Tran +2
We introduce a high-quality and large-scale Vietnamese-English parallel dataset of 3.02M sentence pairs, which is 2.9M pairs larger than the benchmark Vietnamese-English machine tr…
PhoNLP: A joint multi-task learning model for Vietnamese part-of-speech tagging, named entity recognition and dependency parsing
Linh The Nguyen, Dat Quoc Nguyen
We present the first multi-task learning model -- named PhoNLP -- for joint Vietnamese part-of-speech (POS) tagging, named entity recognition (NER) and dependency parsing. Experime…
WNUT-2020 Task 2: Identification of Informative COVID-19 English Tweets
Dat Quoc Nguyen, Thanh Vu, Afshin Rahimi +3
In this paper, we provide an overview of the WNUT-2020 shared task on the identification of informative COVID-19 English Tweets. We describe how we construct a corpus of 10K Tweets…