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20162024
most citedRoot Mean Square Layer Normalization

106 citations · 426 across the 30 of their papers we have counts for

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Showing cs.CLShow all

52 papers · 1 filter

cs.CL2024

Evaluating Automatic Metrics with Incremental Machine Translation Systems

Guojun Wu, Shay B. Cohen, Rico Sennrich

We introduce a dataset comprising commercial machine translations, gathered weekly over six years across 12 translation directions. Since human A/B testing is commonly used, we ass…

cs.CL2024

SignCLIP: Connecting Text and Sign Language by Contrastive Learning

Zifan Jiang, Gerard Sant, Amit Moryossef +3

We present SignCLIP, which re-purposes CLIP (Contrastive Language-Image Pretraining) to project spoken language text and sign language videos, two classes of natural languages of d…

cs.CL20242 cited

Machine Translation Meta Evaluation through Translation Accuracy Challenge Sets

Nikita Moghe, Arnisa Fazla, Chantal Amrhein +5

Recent machine translation (MT) metrics calibrate their effectiveness by correlating with human judgement but without any insights about their behaviour across different error type…

cs.CL2023

A Benchmark for Evaluating Machine Translation Metrics on Dialects Without Standard Orthography

Noëmi Aepli, Chantal Amrhein, Florian Schottmann +1

For sensible progress in natural language processing, it is important that we are aware of the limitations of the evaluation metrics we use. In this work, we evaluate how robust me…

cs.CL2023

Mitigating Hallucinations and Off-target Machine Translation with Source-Contrastive and Language-Contrastive Decoding

Rico Sennrich, Jannis Vamvas, Alireza Mohammadshahi

Hallucinations and off-target translation remain unsolved problems in MT, especially for low-resource languages and massively multilingual models. In this paper, we introduce two r…

cs.CL20237 cited

Uncertainty in Natural Language Generation: From Theory to Applications

Joris Baan, Nico Daheim, Evgenia Ilia +7

Recent advances of powerful Language Models have allowed Natural Language Generation (NLG) to emerge as an important technology that can not only perform traditional tasks like sum…