265 citations · 416 across the 11 of their papers we have counts for
13 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…
Low-Latency Neural Speech Translation
Jan Niehues, Ngoc-Quan Pham, Thanh-Le Ha +2
Through the development of neural machine translation, the quality of machine translation systems has been improved significantly. By exploiting advancements in deep learning, syst…
Combining Advanced Methods in Japanese-Vietnamese Neural Machine Translation
Thi-Vinh Ngo, Thanh-Le Ha, Phuong-Thai Nguyen +1
Neural machine translation (NMT) systems have recently obtained state-of-the art in many machine translation systems between popular language pairs because of the availability of d…
Effective Strategies in Zero-Shot Neural Machine Translation
Thanh-Le Ha, Jan Niehues, Alexander Waibel
In this paper, we proposed two strategies which can be applied to a multilingual neural machine translation system in order to better tackle zero-shot scenarios despite not having…
Analyzing Neural MT Search and Model Performance
Jan Niehues, Eunah Cho, Thanh-Le Ha +1
In this paper, we offer an in-depth analysis about the modeling and search performance. We address the question if a more complex search algorithm is necessary. Furthermore, we inv…
Toward Multilingual Neural Machine Translation with Universal Encoder and Decoder
Thanh-Le Ha, Jan Niehues, Alexander Waibel
In this paper, we present our first attempts in building a multilingual Neural Machine Translation framework under a unified approach. We are then able to employ attention-based NM…
Pre-Translation for Neural Machine Translation
Jan Niehues, Eunah Cho, Thanh-Le Ha +1
Recently, the development of neural machine translation (NMT) has significantly improved the translation quality of automatic machine translation. While most sentences are more acc…
Lexical Translation Model Using a Deep Neural Network Architecture
Thanh-Le Ha, Jan Niehues, Alex Waibel
In this paper we combine the advantages of a model using global source sentence contexts, the Discriminative Word Lexicon, and neural networks. By using deep neural networks instea…