4 citations · 10 across the 7 of their papers we have counts for
9 papers · 1 filter
Optimizing Rare Word Accuracy in Direct Speech Translation with a Retrieval-and-Demonstration Approach
Siqi Li, Danni Liu, Jan Niehues
Direct speech translation (ST) models often struggle with rare words. Incorrect translation of these words can have severe consequences, impacting translation quality and user trus…
Learning an Artificial Language for Knowledge-Sharing in Multilingual Translation
Danni Liu, Jan Niehues
The cornerstone of multilingual neural translation is shared representations across languages. Given the theoretically infinite representation power of neural networks, semanticall…
CUNI-KIT System for Simultaneous Speech Translation Task at IWSLT 2022
Peter Polák, Ngoc-Quan Ngoc, Tuan-Nam Nguyen +5
In this paper, we describe our submission to the Simultaneous Speech Translation at IWSLT 2022. We explore strategies to utilize an offline model in a simultaneous setting without…
Tackling data scarcity in speech translation using zero-shot multilingual machine translation techniques
Tu Anh Dinh, Danni Liu, Jan Niehues
Recently, end-to-end speech translation (ST) has gained significant attention as it avoids error propagation. However, the approach suffers from data scarcity. It heavily depends o…
Cost-Effective Training in Low-Resource Neural Machine Translation
Sai Koneru, Danni Liu, Jan Niehues
While Active Learning (AL) techniques are explored in Neural Machine Translation (NMT), only a few works focus on tackling low annotation budgets where a limited number of sentence…
Unsupervised Machine Translation On Dravidian Languages
Sai Koneru, Danni Liu, Jan Niehues
Unsupervised neural machine translation (UNMT) is beneficial especially for low resource languages such as those from the Dravidian family. However, UNMT systems tend to fail in re…