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 8901–8950 of 10752 papers

TitleStatusHype
One-stop Training of Multiple Capacity Models—0
One Tense per Scene: Predicting Tense in Chinese Conversations—0
One-To-Many Multilingual End-to-end Speech Translation—0
One Tree is not Enough: Cross-lingual Accumulative Structure Transfer for Semantic Indeterminacy—0
On Extending Direct Preference Optimization to Accommodate Ties—0
Ongoing Study for Enhancing Chinese-Spanish Translation with Morphology Strategies—0
On Hierarchical Re-ordering and Permutation Parsing for Phrase-based Decoding—0
On “Human Parity” and “Super Human Performance” in Machine Translation Evaluation—0
On Improving the Human Translation Process by Using MT Technologies under a Cognitive Framework—0
On Instruction-Finetuning Neural Machine Translation Models—0
On Integrating Discourse in Machine Translation—0
On Knowledge Distillation for Direct Speech Translation—0
On Knowledge Distillation for Translating Erroneous Speech Transcriptions—0
On Learning Language-Invariant Representations for Universal Machine Translation—0
On Learning Meaningful Code Changes via Neural Machine Translation—0
On Learning Universal Representations Across Languages—0
On Leveraging the Visual Modality for Neural Machine Translation—0
Online Automatic Post-editing for MT in a Multi-Domain Translation Environment—0
Online Distilling from Checkpoints for Neural Machine Translation—0
Online Learning Approaches in Computer Assisted Translation—0
Online Learning for Effort Reduction in Interactive Neural Machine Translation—0
Online Learning for Neural Machine Translation Post-editing—0
Online Learning for Statistical Machine Translation—0
Online Learning over Time in Adaptive Neural Machine Translation—0
Online optimisation of log-linear weights in interactive machine translation—0
Online Polylingual Topic Models for Fast Document Translation Detection—0
Online Relative Margin Maximization for Statistical Machine Translation—0
Online Semantic Parsing for Latency Reduction in Task-Oriented Dialogue—0
Online Word Alignment for Online Adaptive Machine Translation—0
Only 5\% Attention Is All You Need: Efficient Long-range Document-level Neural Machine Translation—0
Only Send What You Need: Learning to Communicate Efficiently in Federated Multilingual Machine Translation—0
On Machine Translation of User Reviews—0
On Meaning-Preserving Adversarial Perturbations for Sequence-to-Sequence Models—0
On NMT Search Errors and Model Errors: Cat Got Your Tongue?—0
On Orthogonality Constraints for Transformers—0
On Randomized Classification Layers and Their Implications in Natural Language Generation—0
On Romanization for Model Transfer Between Scripts in Neural Machine Translation—0
On Search Strategies for Document-Level Neural Machine Translation—0
On Significance of Subword tokenization for Low Resource and Efficient Named Entity Recognition: A case study in Marathi—0
On Sparsifying Encoder Outputs in Sequence-to-Sequence Models—0
On Statistical Machine Translation and Translation Theory—0
On Systematic Style Differences between Unsupervised and Supervised MT and an Application for High-Resource Machine Translation—0
On Target Representation in Continuous-output Neural Machine Translation—0
On Target Segmentation for Direct Speech Translation—0
On The Alignment Problem In Multi-Head Attention-Based Neural Machine Translation—0
On the annotation of TMX translation memories for advanced leveraging in computer-aided translation—0
On the ``Calligraphy'' of Books—0
On the Complementarity of Data Selection and Fine Tuning for Domain Adaptation—0
On the Complementarity of Data Selection and Fine Tuning for Domain Adaptation—0
On the Depth between Beam Search and Exhaustive Search for Text Generation—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