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 751–800 of 10752 papers

TitleStatusHype
MQM-APE: Toward High-Quality Error Annotation Predictors with Automatic Post-Editing in LLM Translation EvaluatorsCode1
MSCTD: A Multimodal Sentiment Chat Translation DatasetCode1
MT6: Multilingual Pretrained Text-to-Text Transformer with Translation PairsCode1
MTet: Multi-domain Translation for English-VietnameseCode1
A Reinforcement Learning Based Encoder-Decoder Framework for Learning Stock Trading RulesCode1
MT-Ranker: Reference-free machine translation evaluation by inter-system rankingCode1
Multi-Head Attention: Collaborate Instead of ConcatenateCode1
Multilingual Denoising Pre-training for Neural Machine TranslationCode1
A Resource for Computational Experiments on MapudungunCode1
An Exploratory Analysis of Multilingual Word-Level Quality Estimation with Cross-Lingual TransformersCode1
Multimodal Generative Models for Scalable Weakly-Supervised LearningCode1
Multimodal Transformer for Multimodal Machine TranslationCode1
Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine TranslationCode1
Multi-Unit Transformers for Neural Machine TranslationCode1
Angler: Helping Machine Translation Practitioners Prioritize Model ImprovementsCode1
An image speaks a thousand words, but can everyone listen? On image transcreation for cultural relevanceCode1
Mask-Predict: Parallel Decoding of Conditional Masked Language ModelsCode1
Neural Machine Translation of Rare Words with Subword UnitsCode1
Neural Machine Translation with Contrastive Translation MemoriesCode1
Neural Machine Translation with Joint RepresentationCode1
Arch-Net: Model Distillation for Architecture Agnostic Model DeploymentCode1
A Character-Level Decoder without Explicit Segmentation for Neural Machine TranslationCode1
Neural Syntactic Preordering for Controlled Paraphrase GenerationCode1
NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead HeuristicsCode1
Non-autoregressive Machine Translation with Probabilistic Context-free GrammarCode1
Non-autoregressive Streaming Transformer for Simultaneous TranslationCode1
Non-Autoregressive Translation by Learning Target Categorical CodesCode1
Non-autoregressive Translation with Disentangled Context TransformerCode1
Non-Monotonic Latent Alignments for CTC-Based Non-Autoregressive Machine TranslationCode1
Non-Parametric Unsupervised Domain Adaptation for Neural Machine TranslationCode1
Norm-Based Curriculum Learning for Neural Machine TranslationCode1
Not All Errors are Equal: Learning Text Generation Metrics using Stratified Error SynthesisCode1
Offline Meta-Reinforcement Learning with Advantage WeightingCode1
Unifying the Convergences in Multilingual Neural Machine TranslationCode1
On Compositional Generalization of Neural Machine TranslationCode1
On Exposure Bias, Hallucination and Domain Shift in Neural Machine TranslationCode1
On the Evaluation of Machine Translation for Terminology ConsistencyCode1
On the Evaluation of Semantic Phenomena in Neural Machine Translation Using Natural Language InferenceCode1
On the Inference Calibration of Neural Machine TranslationCode1
On the Limitations of Cross-lingual Encoders as Exposed by Reference-Free Machine Translation EvaluationCode1
AR-Diffusion: Auto-Regressive Diffusion Model for Text GenerationCode1
On Vision Features in Multimodal Machine TranslationCode1
OpenNMT: Neural Machine Translation ToolkitCode1
OpusCleaner and OpusTrainer, open source toolkits for training Machine Translation and Large language modelsCode1
Out of the BLEU: how should we assess quality of the Code Generation models?Code1
ArzEn-LLM: Code-Switched Egyptian Arabic-English Translation and Speech Recognition Using LLMsCode1
A Streaming Approach For Efficient Batched Beam SearchCode1
AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the FlyCode1
Cross-Lingual Natural Language Generation via Pre-TrainingCode1
BIG-C: a Multimodal Multi-Purpose Dataset for BembaCode1
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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