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20152023
most citedToward Multilingual Neural Machine Translation with Universal Encoder and Decoder

265 citations · 1.1k across the 50 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.CL2023

End-to-End Evaluation for Low-Latency Simultaneous Speech Translation

Christian Huber, Tu Anh Dinh, Carlos Mullov +10

The challenge of low-latency speech translation has recently draw significant interest in the research community as shown by several publications and shared tasks. Therefore, it is…

cs.CL2023

KIT's Multilingual Speech Translation System for IWSLT 2023

Danni Liu, Thai Binh Nguyen, Sai Koneru +7

Many existing speech translation benchmarks focus on native-English speech in high-quality recording conditions, which often do not match the conditions in real-life use-cases. In…

cs.CL2023★ 4 cited

Gender Lost In Translation: How Bridging The Gap Between Languages Affects Gender Bias in Zero-Shot Multilingual Translation

Lena Cabrera, Jan Niehues

Neural machine translation (NMT) models often suffer from gender biases that harm users and society at large. In this work, we explore how bridging the gap between languages for wh…

cs.CL2023

Train Global, Tailor Local: Minimalist Multilingual Translation into Endangered Languages

Zhong Zhou, Jan Niehues, Alex Waibel

In many humanitarian scenarios, translation into severely low resource languages often does not require a universal translation engine, but a dedicated text-specific translation en…

cs.CL2023

Perturbation-based QE: An Explainable, Unsupervised Word-level Quality Estimation Method for Blackbox Machine Translation

Tu Anh Dinh, Jan Niehues

Quality Estimation (QE) is the task of predicting the quality of Machine Translation (MT) system output, without using any gold-standard translation references. State-of-the-art QE…