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 3901–3950 of 10752 papers

TitleStatusHype
Efficient Neural Machine Translation with Prior Word Alignment—0
Memory Representation in Transformer—0
Parameterization of Hypercomplex Multiplications—0
LLBoost: Last Layer Perturbation to Boost Pre-trained Neural Networks—0
Good for Misconceived Reasons: Revisiting Neural Multimodal Machine Translation—0
Learning to Use Future Information in Simultaneous TranslationCode0
Predictive Attention Transformer: Improving Transformer with Attention Map Prediction—0
DiP Benchmark Tests: Evaluation Benchmarks for Discourse Phenomena in MT—0
Towards Principled Representation Learning for Entity Alignment—0
Representation and Bias in Multilingual NLP: Insights from Controlled Experiments on Conditional Language Modeling—0
Improving Machine Translation by Searching Skip Connections Efficiently—0
Demystifying Learning of Unsupervised Neural Machine Translation—0
Switching-Aligned-Words Data Augmentation for Neural Machine Translation—0
Synthesizer: Rethinking Self-Attention for Transformer Models—0
Crowd-sourced Phrase-Based Tokenization for Low-Resourced Neural Machine Translation: The case of Fon Language—0
Cross-lingual Transfer Learning for Pre-trained Contextualized Language Models—0
Predicting the impact of dataset composition on model performance—0
PhraseTransformer: Self-Attention using Local Context for Semantic ParsingCode0
FGraDA: A Dataset and Benchmark for Fine-Grained Domain Adaptation in Machine TranslationCode0
Fully Synthetic Data Improves Neural Machine Translation with Knowledge Distillation—0
XLM-T: Scaling up Multilingual Machine Translation with Pretrained Cross-lingual Transformer Encoders—0
Revisiting Robust Neural Machine Translation: A Transformer Case Study—0
Directed Beam Search: Plug-and-Play Lexically Constrained Language GenerationCode0
Neural Machine Translation: A Review of Methods, Resources, and Tools—0
Improving Zero-Shot Translation by Disentangling Positional InformationCode0
Accurate Word Representations with Universal Visual Guidance—0
Reservoir Transformers—0
Synthetic Source Language Augmentation for Colloquial Neural Machine Translation—0
Faster Re-translation Using Non-Autoregressive Model For Simultaneous Neural Machine Translation—0
Neural Text Generation with Artificial Negative Examples—0
SG-Net: Syntax Guided Transformer for Language Representation—0
Why Neural Machine Translation Prefers Empty Outputs—0
Gender Bias in Multilingual Neural Machine Translation: The Architecture Matters—0
Domain Adaptation of NMT models for English-Hindi Machine Translation Task at AdapMT ICON 2020—0
Multi-Head Self-Attention with Role-Guided MasksCode0
Subword Sampling for Low Resource Word Alignment—0
Efficient Object-Level Visual Context Modeling for Multimodal Machine Translation: Masking Irrelevant Objects Helps Grounding—0
Improving Multilingual Neural Machine Translation For Low-Resource Languages: French,English - Vietnamese—0
Modeling Homophone Noise for Robust Neural Machine Translation—0
MSVD-Turkish: A Comprehensive Multimodal Dataset for Integrated Vision and Language Research in Turkish—0
Exploring Pair-Wise NMT for Indian Languages—0
Approches quantitatives de l'analyse des prédictions en traduction automatique neuronale (TAN)—0
Automatic Standardization of Colloquial PersianCode0
Multilingual Transfer Learning for QA Using Translation as Data Augmentation—0
Rewriter-Evaluator Architecture for Neural Machine Translation—0
On Knowledge Distillation for Direct Speech Translation—0
Breeding Gender-aware Direct Speech Translation Systems—0
Towards Annotation-Free Evaluation of Cross-Lingual Image Captioning—0
Towards Coinductive Models for Natural Language Understanding. Bringing together Deep Learning and Deep Semantics—0
Document Graph for Neural Machine Translation—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