SOTAVerified

Translation

Papers

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Showing 4326–4350 of 12395 papers

TitleStatusHype
Contrastive Clustering to Mine Pseudo Parallel Data for Unsupervised Translation—0
A Topic Similarity Model for Hierarchical Phrase-based Translation—0
Adaptive Convolutions with Per-pixel Dynamic Filter Atom—0
Contractions: To Align or Not to Align, That Is the Question—0
ContraCAT: Contrastive Coreference Analytical Templates for Machine Translation—0
ATOGAN:Adaptive Training Objective Generative Adversarial Network for Cross-lingual Word Alignment in Non-Isomorphic Embedding Spaces—0
ContourDiff: Unpaired Image-to-Image Translation with Structural Consistency for Medical Imaging—0
Continuous Space Translation Models with Neural Networks—0
A Model for Competition for Ribosomes in the Cell—0
From Rule-Based Models to Deep Learning Transformers Architectures for Natural Language Processing and Sign Language Translation Systems: Survey, Taxonomy and Performance Evaluation—0
Continuous Space Translation Models for Phrase-Based Statistical Machine Translation—0
Continuous Model Improvement for Language Understanding with Machine Translation—0
Continuous Methods : Hamiltonian Domain Translation—0
Continuous Measurement Scales in Human Evaluation of Machine Translation—0
A Thorough Investigation into the Application of Deep CNN for Enhancing Natural Language Processing Capabilities—0
A Modality Lexicon and its use in Automatic Tagging—0
Continuous Learning in Neural Machine Translation using Bilingual Dictionaries—0
ATHAR: A High-Quality and Diverse Dataset for Classical Arabic to English Translation—0
Continuous hand-eye calibration using 3D points—0
Adaptive Compact Attention For Few-shot Video-to-video Translation—0
Accelerating the inference of string generation-based chemical reaction models for industrial applications—0
From Simultaneous to Streaming Machine Translation by Leveraging Streaming History—0
Continuous Adaptation to User Feedback for Statistical Machine Translation—0
Continuous 3D Multi-Channel Sign Language Production via Progressive Transformers and Mixture Density Networks—0
A Mixture of h - 1 Heads is Better than h Heads—0
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All datasetsMuLD (OpenSubtitles)PhoMTOxford Radar RobotCar Dataset

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1T5BLEU-134.07—Unverified
2LongformerBLEU-122.74—Unverified
#ModelMetricClaimedVerifiedStatus
1ALMA-Gemma-7B-IT-STBLEU56.21—Unverified
2ALMA-Gemma-7B-ITBLEU52.7—Unverified
#ModelMetricClaimedVerifiedStatus
1CFEAR-3-s50translation error [%]1.09—Unverified