Translation
3182 papers with code • 7 benchmarks • 15 datasets
Benchmarks
These leaderboards are used to track progress in Translation
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Libraries
Use these libraries to find Translation models and implementationsDatasets
WMT 2016
xP3
CVSS
Oxford Radar RobotCar Dataset
Duolingo STAPLE Shared Task
Demetr
SpeechMatrix
ACES
FRMT
Latest papers
Exploring and Unleashing the Power of Large Language Models in Automated Code Translation
yz1019117968/fse-24-unitrans
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Specifically, UniTrans first craft a series of test cases for target programs with the assistance of source programs.
MahaSQuAD: Bridging Linguistic Divides in Marathi Question-Answering
Hence, to address this challenge, we also present a generic approach for translating SQuAD into any low-resource language.
CorrNet+: Sign Language Recognition and Translation via Spatial-Temporal Correlation
In specific, CorrNet+ employs a correlation module and an identification module to build human body trajectories.
A Data-Driven Representation for Sign Language Production
By applying Vector Quantisation (VQ) to sign language data, we first learn a codebook of short motions that can be combined to create a natural sequence of sign.
Investigating Neural Machine Translation for Low-Resource Languages: Using Bavarian as a Case Study
Machine Translation has made impressive progress in recent years offering close to human-level performance on many languages, but studies have primarily focused on high-resource languages with broad online presence and resources.
Guiding Large Language Models to Post-Edit Machine Translation with Error Annotations
Machine Translation (MT) remains one of the last NLP tasks where large language models (LLMs) have not yet replaced dedicated supervised systems.
Curated Datasets and Neural Models for Machine Translation of Informal Registers between Mayan and Spanish Vernaculars
The Mayan languages comprise a language family with an ancient history, millions of speakers, and immense cultural value, that, nevertheless, remains severely underrepresented in terms of resources and global exposure.
Control-DAG: Constrained Decoding for Non-Autoregressive Directed Acyclic T5 using Weighted Finite State Automata
The Directed Acyclic Transformer is a fast non-autoregressive (NAR) model that performs well in Neural Machine Translation.
Anatomical Conditioning for Contrastive Unpaired Image-to-Image Translation of Optical Coherence Tomography Images
For a unified analysis of medical images from different modalities, data harmonization using image-to-image (I2I) translation is desired.
F-MALLOC: Feed-forward Memory Allocation for Continual Learning in Neural Machine Translation
In the evolving landscape of Neural Machine Translation (NMT), the pretrain-then-finetune paradigm has yielded impressive results.
