42 citations · 46 across the 4 of their papers we have counts for
11 papers
Improving Multilingual Neural Machine Translation For Low-Resource Languages: French,English - Vietnamese
Thi-Vinh Ngo, Phuong-Thai Nguyen, Thanh-Le Ha +2
Prior works have demonstrated that a low-resource language pair can benefit from multilingual machine translation (MT) systems, which rely on many language pairs' joint training. T…
Relative Positional Encoding for Speech Recognition and Direct Translation
Ngoc-Quan Pham, Thanh-Le Ha, Tuan-Nam Nguyen +5
Transformer models are powerful sequence-to-sequence architectures that are capable of directly mapping speech inputs to transcriptions or translations. However, the mechanism for…
Low Latency ASR for Simultaneous Speech Translation
Thai Son Nguyen, Jan Niehues, Eunah Cho +6
User studies have shown that reducing the latency of our simultaneous lecture translation system should be the most important goal. We therefore have worked on several techniques f…
Overcoming the Rare Word Problem for Low-Resource Language Pairs in Neural Machine Translation
Thi-Vinh Ngo, Thanh-Le Ha, Phuong-Thai Nguyen +1
Among the six challenges of neural machine translation (NMT) coined by (Koehn and Knowles, 2017), rare-word problem is considered the most severe one, especially in translation of…
How Transformer Revitalizes Character-based Neural Machine Translation: An Investigation on Japanese-Vietnamese Translation Systems
Thi-Vinh Ngo, Thanh-Le Ha, Phuong-Thai Nguyen +1
While translating between East Asian languages, many works have discovered clear advantages of using characters as the translation unit. Unfortunately, traditional recurrent neural…
Improving Zero-shot Translation with Language-Independent Constraints
Ngoc-Quan Pham, Jan Niehues, Thanh-Le Ha +1
An important concern in training multilingual neural machine translation (NMT) is to translate between language pairs unseen during training, i.e zero-shot translation. Improving t…