SOTAVerified

Machine Translation

Machine translation is the task of translating a sentence in a source language to a different target language.

Approaches for machine translation can range from rule-based to statistical to neural-based. More recently, encoder-decoder attention-based architectures like BERT have attained major improvements in machine translation.

One of the most popular datasets used to benchmark machine translation systems is the WMT family of datasets. Some of the most commonly used evaluation metrics for machine translation systems include BLEU, METEOR, NIST, and others.

( Image credit: Google seq2seq )

Papers

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Showing 2551–2600 of 10752 papers

TitleStatusHype
High Quality Rather than High Model Probability: Minimum Bayes Risk Decoding with Neural Metrics—0
Integrating Vectorized Lexical Constraints for Neural Machine Translation—0
Graph Neural Networks for Multiparallel Word Alignment—0
Dict-NMT: Bilingual Dictionary based NMT for Extremely Low Resource Languages—0
Bridging the Data Gap between Training and Inference for Unsupervised Neural Machine Translation—0
Bidirectional Modeling for Simultaneous Neural Machine Translation—0
Rare Tokens Degenerate All Tokens: Improving Neural Text Generation via Adaptive Gradient Gating for Rare Token Embeddings—0
When Does Translation Require Context? A Data-driven, Multilingual Exploration—0
Automode: Choosing the Best Machine Translation Supplier Based on Source Text—0
IndicBART: A Pre-trained Model for Indic Natural Language Generation—0
Data-Driven Adaptive Simultaneous Machine Translation—0
What Works and Doesn't Work, A Deep Decoder for Neural Machine Translation—0
Maximum Proxy-Likelihood Estimation for Non-autoregressive Machine Translation—0
Mitigating Gender Bias in Machine Translation through Adversarial Learning—0
INDICXNLI: A Dataset for Studying NLI in Indic Languages—0
StableMoE: Stable Routing Strategy for Mixture of Experts—0
Contrastive Learning for Low Resource Machine Translation—0
Focus on the Target’s Vocabulary: Masked Label Smoothing for Machine Translation—0
Divide and Rule: Effective Pre-Training for Context-Aware Multi-Encoder Translation Models—0
Research on the Evaluation of Token Imbalance Degree of NMT Corpus—0
Causal Transformers: Improving the Robustness on Spurious Correlations—0
A Primer in NMTology: What we have understood about NMT—0
Enhancing the Nonlinear Mutual Dependencies in Transformers with Mutual Information—0
On Vision Features in Multimodal Machine Translation—0
Overcoming a Theoretical Limitation of Self-Attention—0
A Graph Fusion Approach to Cross-Lingual Machine Reading Comprehension—0
Language-Family Adapters for Multilingual Neural Machine Translation—0
That Slepen Al the Nyght with Open Ye! Cross-era Sequence Segmentation with Switch-memory—0
Generating Authentic Adversarial Examples beyond Meaning-preserving with Doubly Round-trip Translation—0
Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation—0
Towards a Fine-Grained Multi-Domain Neural Machine Translation Using Inter-Domain Relationships—0
On Systematic Style Differences between Unsupervised and Supervised MT and an Application for High-Resource Machine Translation—0
A Neural Approach to KGQA via SPARQL Silhouette Generation—0
Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data—0
An Empirical Study of Document-to-document Neural Machine Translation—0
Predicting Attention Sparsity in Transformers—0
Disentangled Sequence to Sequence Learning for Compositional Generalization—0
Data-adaptive Transfer Learning for Low-resource Translation: A Case Study in Haitian—0
DAQE: Exploring the Direct Assessment on Word-Level Quality Estimation in Machine Translation—0
A Natural Diet: Towards Improving Naturalness of Machine Translation Output—0
Multilingual Document-Level Translation Enables Zero-Shot Transfer From Sentences to Documents—0
Freezing the Pivot for Triangular Machine Translation—0
WeTS: A Benchmark for Translation Suggestion—0
How to Translate Your Samples and Choose Your Shots? Analyzing Translate-train & Few-shot Cross-lingual Transfer—0
Improving Word Translation via Two-Stage Contrastive LearningCode1
Teaching BERT to Wait: Balancing Accuracy and Latency for Streaming Disfluency Detection—0
Cost-Effective Training in Low-Resource Neural Machine Translation—0
Contrastive Conditional Masked Language Model for Non-autoregressive Neural Machine Translation—0
MAD for Robust Reinforcement Learning in Machine Translation—0
Improving Paraphrase Generation models with machine translation generated pre-training—0
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All datasetsWMT2014 English-GermanWMT2014 English-FrenchIWSLT2014 German-EnglishACESWMT2016 English-RomanianWMT2016 Romanian-EnglishWMT2014 German-EnglishIWSLT2015 German-EnglishWMT2016 English-GermanIWSLT2015 English-VietnameseIWSLT2015 English-GermanWMT2016 German-English

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Transformer Cycle (Rev)BLEU score35.14—Unverified
2Noisy back-translationBLEU score35—Unverified
3Transformer+Rep(Uni)BLEU score33.89—Unverified
4T5-11BBLEU score32.1—Unverified
5BiBERTBLEU score31.26—Unverified
6Transformer + R-DropBLEU score30.91—Unverified
7Bi-SimCutBLEU score30.78—Unverified
8BERT-fused NMTBLEU score30.75—Unverified
9Data Diversification - TransformerBLEU score30.7—Unverified
10SimCutBLEU score30.56—Unverified
#ModelMetricClaimedVerifiedStatus
1Transformer+BT (ADMIN init)BLEU score46.4—Unverified
2Noisy back-translationBLEU score45.6—Unverified
3mRASP+Fine-TuneBLEU score44.3—Unverified
4Transformer + R-DropBLEU score43.95—Unverified
5Transformer (ADMIN init)BLEU score43.8—Unverified
6AdminBLEU score43.8—Unverified
7BERT-fused NMTBLEU score43.78—Unverified
8MUSE(Paralllel Multi-scale Attention)BLEU score43.5—Unverified
9T5BLEU score43.4—Unverified
10Local Joint Self-attentionBLEU score43.3—Unverified
#ModelMetricClaimedVerifiedStatus
1PiNMTBLEU score40.43—Unverified
2BiBERTBLEU score38.61—Unverified
3Bi-SimCutBLEU score38.37—Unverified
4Cutoff + Relaxed Attention + LMBLEU score37.96—Unverified
5DRDABLEU score37.95—Unverified
6Transformer + R-Drop + CutoffBLEU score37.9—Unverified
7SimCutBLEU score37.81—Unverified
8Cutoff+KneeBLEU score37.78—Unverified
9CutoffBLEU score37.6—Unverified
10CipherDAugBLEU score37.53—Unverified
#ModelMetricClaimedVerifiedStatus
1HWTSC-Teacher-SimScore19.97—Unverified
2MS-COMET-22Score19.89—Unverified
3MS-COMET-QE-22Score19.76—Unverified
4KG-BERTScoreScore17.28—Unverified
5metricx_xl_DA_2019Score17.17—Unverified
6COMET-QEScore16.8—Unverified
7COMET-22Score16.31—Unverified
8UniTE-srcScore15.68—Unverified
9UniTE-refScore15.38—Unverified
10metricx_xxl_DA_2019Score15.24—Unverified