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

Showing 40014050 of 10752 papers

TitleStatusHype
Exploring Sequence-to-Sequence Models for SPARQL Pattern CompositionCode1
Sentence Boundary Augmentation For Neural Machine Translation Robustness0
Cascaded Models With Cyclic Feedback For Direct Speech Translation0
Multi-Unit Transformers for Neural Machine TranslationCode1
Token Drop mechanism for Neural Machine TranslationCode0
TMT: A Transformer-based Modal Translator for Improving Multimodal Sequence Representations in Audio Visual Scene-aware Dialog0
WaveTransformer: A Novel Architecture for Audio Captioning Based on Learning Temporal and Time-Frequency InformationCode1
Beyond English-Centric Multilingual Machine TranslationCode1
Analyzing the Source and Target Contributions to Predictions in Neural Machine TranslationCode1
Human-Paraphrased References Improve Neural Machine TranslationCode1
Pushing the Limits of AMR Parsing with Self-Learning0
Bayesian Attention ModulesCode1
Word Shape Matters: Robust Machine Translation with Visual Embedding0
Complete Multilingual Neural Machine Translation0
Towards End-to-End In-Image Neural Machine Translation0
Revisiting Modularized Multilingual NMT to Meet Industrial Demands0
Incorporating Terminology Constraints in Automatic Post-EditingCode1
Diving Deep into Context-Aware Neural Machine Translation0
Unsupervised Pretraining for Neural Machine Translation Using Elastic Weight Consolidation0
Rethinking Document-level Neural Machine TranslationCode1
Unsupervised Neural Machine Translation for Low-Resource Domains via Meta-Learning0
Incorporate Semantic Structures into Machine Translation Evaluation via UCCA0
A Corpus for English-Japanese Multimodal Neural Machine Translation with Comparable Sentences0
Unified Embedding for Universal Multilingual Neural Machine Translation0
Training Flexible Depth Model by Multi-Task Learning for Neural Machine Translation0
DiDi's Machine Translation System for WMT20200
Generating Diverse Translation from Model Distribution with Dropout0
Unsupervised Bitext Mining and Translation via Self-trained Contextual Embeddings0
Multi-Task Learning for Cross-Lingual Abstractive Summarization0
Pronoun-Targeted Fine-tuning for NMT with Hybrid LossesCode0
Semantic Label Smoothing for Sequence to Sequence Problems0
Positioning yourself in the maze of Neural Text Generation: A Task-Agnostic Survey0
With Little Power Comes Great ResponsibilityCode1
Ensemble Distillation for Structured Prediction: Calibrated, Accurate, Fast-Choose Three0
Fine-grained linguistic evaluation for state-of-the-art Machine Translation0
Multilingual Argument Mining: Datasets and Analysis0
Mitigating Gender Bias in Machine Translation with Target Gender AnnotationsCode0
Incorporating BERT into Parallel Sequence Decoding with AdaptersCode1
The Tatoeba Translation Challenge -- Realistic Data Sets for Low Resource and Multilingual MTCode1
Gender Coreference and Bias Evaluation at WMT 2020Code1
It's not a Non-Issue: Negation as a Source of Error in Machine TranslationCode0
Towards Machine Translation for the Kurdish LanguageCode0
Look It Up: Bilingual Dictionaries Improve Neural Machine Translation0
Improving Text Generation with Student-Forcing Optimal Transport0
Collective Wisdom: Improving Low-resource Neural Machine Translation using Adaptive Knowledge Distillation0
Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual ModelsCode1
Exemplar-Controllable Paraphrasing and Translation using BitextCode0
Machine Translation of Mathematical Text0
fairseq S2T: Fast Speech-to-Text Modeling with fairseqCode0
Neural Machine Translation Doesn't Translate Gender Coreference Right Unless You Make ItCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Transformer Cycle (Rev)BLEU score35.14Unverified
2Noisy back-translationBLEU score35Unverified
3Transformer+Rep(Uni)BLEU score33.89Unverified
4T5-11BBLEU score32.1Unverified
5BiBERTBLEU score31.26Unverified
6Transformer + R-DropBLEU score30.91Unverified
7Bi-SimCutBLEU score30.78Unverified
8BERT-fused NMTBLEU score30.75Unverified
9Data Diversification - TransformerBLEU score30.7Unverified
10SimCutBLEU score30.56Unverified
#ModelMetricClaimedVerifiedStatus
1Transformer+BT (ADMIN init)BLEU score46.4Unverified
2Noisy back-translationBLEU score45.6Unverified
3mRASP+Fine-TuneBLEU score44.3Unverified
4Transformer + R-DropBLEU score43.95Unverified
5Transformer (ADMIN init)BLEU score43.8Unverified
6AdminBLEU score43.8Unverified
7BERT-fused NMTBLEU score43.78Unverified
8MUSE(Paralllel Multi-scale Attention)BLEU score43.5Unverified
9T5BLEU score43.4Unverified
10Local Joint Self-attentionBLEU score43.3Unverified
#ModelMetricClaimedVerifiedStatus
1PiNMTBLEU score40.43Unverified
2BiBERTBLEU score38.61Unverified
3Bi-SimCutBLEU score38.37Unverified
4Cutoff + Relaxed Attention + LMBLEU score37.96Unverified
5DRDABLEU score37.95Unverified
6Transformer + R-Drop + CutoffBLEU score37.9Unverified
7SimCutBLEU score37.81Unverified
8Cutoff+KneeBLEU score37.78Unverified
9CutoffBLEU score37.6Unverified
10CipherDAugBLEU score37.53Unverified
#ModelMetricClaimedVerifiedStatus
1HWTSC-Teacher-SimScore19.97Unverified
2MS-COMET-22Score19.89Unverified
3MS-COMET-QE-22Score19.76Unverified
4KG-BERTScoreScore17.28Unverified
5metricx_xl_DA_2019Score17.17Unverified
6COMET-QEScore16.8Unverified
7COMET-22Score16.31Unverified
8UniTE-srcScore15.68Unverified
9UniTE-refScore15.38Unverified
10metricx_xxl_DA_2019Score15.24Unverified