28 citations · 41 across the 6 of their papers we have counts for
6 papers
Monotonic Simultaneous Translation with Chunk-wise Reordering and Refinement
HyoJung Han, Seokchan Ahn, Yoonjung Choi +3
Recent work in simultaneous machine translation is often trained with conventional full sentence translation corpora, leading to either excessive latency or necessity to anticipate…
Decision Attentive Regularization to Improve Simultaneous Speech Translation Systems
Mohd Abbas Zaidi, Beomseok Lee, Sangha Kim +1
Simultaneous translation systems start producing the output while processing the partial source sentence in the incoming input stream. These systems need to decide when to read mor…
Infusing Future Information into Monotonic Attention Through Language Models
Mohd Abbas Zaidi, Sathish Indurthi, Beomseok Lee +2
Simultaneous neural machine translation(SNMT) models start emitting the target sequence before they have processed the source sequence. The recent adaptive policies for SNMT use mo…
Faster Re-translation Using Non-Autoregressive Model For Simultaneous Neural Machine Translation
Hyojung Han, Sathish Indurthi, Mohd Abbas Zaidi +5
Recently, simultaneous translation has gathered a lot of attention since it enables compelling applications such as subtitle translation for a live event or real-time video-call tr…
Extremely Low Bit Transformer Quantization for On-Device Neural Machine Translation
Insoo Chung, Byeongwook Kim, Yoonjung Choi +5
The deployment of widely used Transformer architecture is challenging because of heavy computation load and memory overhead during inference, especially when the target device is l…
Data Efficient Direct Speech-to-Text Translation with Modality Agnostic Meta-Learning
Sathish Indurthi, Houjeung Han, Nikhil Kumar Lakumarapu +4
End-to-end Speech Translation (ST) models have several advantages such as lower latency, smaller model size, and less error compounding over conventional pipelines that combine Aut…