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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 5501–5550 of 10752 papers

TitleStatusHype
Towards Interlingua Neural Machine Translation—0
End to End Recognition System for Recognizing Offline Unconstrained Vietnamese Handwriting—0
Effective Cross-lingual Transfer of Neural Machine Translation Models without Shared VocabulariesCode0
Deep Residual Output Layers for Neural Language GenerationCode0
Is Word Segmentation Necessary for Deep Learning of Chinese Representations?—0
Curriculum Learning for Domain Adaptation in Neural Machine Translation—0
Sparse Sequence-to-Sequence ModelsCode0
A Brief Survey of Multilingual Neural Machine Translation—0
Synchronous Bidirectional Neural Machine TranslationCode0
Densifying Assumed-sparse Tensors: Improving Memory Efficiency and MPI Collective Performance during Tensor Accumulation for Parallelized Training of Neural Machine Translation Models—0
Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations—0
Development of Deep Learning Based Natural Language Processing Model for Turkish—0
MASS: Masked Sequence to Sequence Pre-training for Language GenerationCode2
A Large Parallel Corpus of Full-Text Scientific Articles—0
UFRGS Participation on the WMT Biomedical Translation Shared Task—0
BVS Corpus: A Multilingual Parallel Corpus of Biomedical Scientific TextsCode0
A Parallel Corpus of Theses and Dissertations Abstracts—0
Linguistic Information in Neural Semantic Parsing with Multiple Encoders—0
Discourse Representation Structure Parsing with Recurrent Neural Networks and the Transformer Model—0
Multi-Agent Dual Learning—0
Riemannian Stochastic Gradient Descent for Tensor-Train Recurrent Neural Networks—0
A Guider Network for Multi-Dual Learning—0
On Meaning-Preserving Adversarial Perturbations for Sequence-to-Sequence Models—0
Dual Learning: Theoretical Study and Algorithmic Extensions—0
Diverse Machine Translation with a Single Multinomial Latent Variable—0
Machine Translation With Weakly Paired Bilingual Documents—0
Hint-based Training for Non-Autoregressive Translation—0
Towards a better understanding of Vector Quantized Autoencoders—0
Minimum Divergence vs. Maximum Margin: an Empirical Comparison on Seq2Seq Models—0
Graph Convolutional Network with Sequential Attention For Goal-Oriented Dialogue Systems—0
Curvature: A signature for Action Recognition in Video Sequences—0
Neural Machine Translation with Recurrent Highway Networks—0
Transformers with convolutional context for ASRCode1
Knowing When to Stop: Evaluation and Verification of Conformity to Output-size Specifications—0
Assessing the Tolerance of Neural Machine Translation Systems Against Speech Recognition Errors—0
Plug-in, Trainable Gate for Streamlining Arbitrary Neural Networks—0
Low-Memory Neural Network Training: A Technical Report—0
TextKD-GAN: Text Generation using KnowledgeDistillation and Generative Adversarial NetworksCode0
Compositional generalization in a deep seq2seq model by separating syntax and semanticsCode0
Dynamic Past and Future for Neural Machine TranslationCode0
BERTScore: Evaluating Text Generation with BERTCode1
Mask-Predict: Parallel Decoding of Conditional Masked Language ModelsCode1
An Empirical Investigation of Global and Local Normalization for Recurrent Neural Sequence Models Using a Continuous Relaxation to Beam Search—0
Attention-Passing Models for Robust and Data-Efficient End-to-End Speech Translation—0
Membership Inference Attacks on Sequence-to-Sequence Models: Is My Data In Your Machine Translation System?Code0
Cross-lingual Visual Verb Sense DisambiguationCode0
Corpora Generation for Grammatical Error Correction—0
APE at Scale and its Implications on MT Evaluation Biases—0
Bilingual-GAN: A Step Towards Parallel Text Generation—0
Data Selection with Cluster-Based Language Difference Models and Cynical Selection—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