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Translation

Papers

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Showing 4701–4750 of 12395 papers

TitleStatusHype
Searching for COMETINHO: The Little Metric That Could—0
Searching for Context: a Study on Document-Level Labels for Translation Quality Estimation—0
Searching for fingerspelled content in American Sign Language—0
Searching for fingerspelled content in American Sign Language—0
Searching for Needles in a Haystack: On the Role of Incidental Bilingualism in PaLM's Translation Capability—0
Secoco: Self-Correcting Encoding for Neural Machine Translation—0
Seed-to-Seed: Image Translation in Diffusion Seed Space—0
See far with TPNET: a Tile Processor and a CNN Symbiosis—0
Seen2Unseen at PARSEME Shared Task 2020: All Roads do not Lead to Unseen Verb-Noun VMWEs—0
SEE: Semantically Aligned EEG-to-Text Translation—0
Seg-CycleGAN : SAR-to-optical image translation guided by a downstream task—0
Segmentation and Translation of Japanese Multi-word Loanwords—0
Segmentation for Domain Adaptation in Arabic—0
Segmentation-Guided CT Synthesis with Pixel-Wise Conformal Uncertainty Bounds—0
Segmentation of skin lesions and their attributes using Generative Adversarial Networks—0
Segmentation Strategies for Streaming Speech Translation—0
Segment-Based Interactive Machine Translation for Pre-trained Models—0
Segmenting Subtitles for Correcting ASR Segmentation Errors—0
Select and Reorder: A Novel Approach for Neural Sign Language Production—0
Selecting Artificially-Generated Sentences for Fine-Tuning Neural Machine Translation—0
Selecting Backtranslated Data from Multiple Sources for Improved Neural Machine Translation—0
Selecting Data for English-to-Czech Machine Translation—0
Selecting Feature Sets for Comparative and Time-Oriented Quality Estimation of Machine Translation Output—0
Selecting Informative Context Sentence by Forced Back-Translation—0
Selecting Machine-Translated Data for Quick Bootstrapping of a Natural Language Understanding System—0
Selecting, Planning, and Rewriting: A Modular Approach for Data-to-Document Generation and Translation—0
Selecting Syntactic, Non-redundant Segments in Active Learning for Machine Translation—0
Selecting the best data filtering method for NMT training—0
Selection of Discriminative Features for Translation Texts—0
Selective Combination of Pivot and Direct Statistical Machine Translation Models—0
Selective Data Augmentation for Robust Speech Translation—0
Selective Feature Connection Mechanism: Concatenating Multi-layer CNN Features with a Feature Selector—0
Selective Knowledge Distillation for Non-Autoregressive Neural Machine Translation—0
Self-Adaptive Scaling for Learnable Residual Structure—0
Self adversarial attack as an augmentation method for immunohistochemical stainings—0
Self-Attentional Models Application in Task-Oriented Dialogue Generation Systems—0
Self-Attentional Models for Lattice Inputs—0
Self-Attention Networks for Intent Detection—0
Self-Attention with Cross-Lingual Position Representation—0
Self-Attention with Structural Position Representations—0
(Self-Attentive) Autoencoder-based Universal Language Representation for Machine Translation—0
Self-Distillation for Model Stacking Unlocks Cross-Lingual NLU in 200+ Languages—0
Self-Distillation Mixup Training for Non-autoregressive Neural Machine Translation—0
Self-Evolution Knowledge Distillation for LLM-based Machine Translation—0
Self-Guided Curriculum Learning for Neural Machine Translation—0
Self-Induced Curriculum Learning in Neural Machine Translation—0
Self-Induced Curriculum Learning in Self-Supervised Neural Machine Translation—0
Self-Knowledge Distillation in Natural Language Processing—0
Self-Learning for Zero Shot Neural Machine Translation—0
Self Learning from Large Scale Code Corpus to Infer Structure of Method Invocations—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