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 5201–5250 of 10752 papers

TitleStatusHype
MiSS@WMT21: Contrastive Learning-reinforced Domain Adaptation in Neural Machine Translation—0
Improving Scheduled Sampling with Elastic Weight Consolidation for Neural Machine Translation—0
Improving Vector-Quantized Image Modeling with Latent Consistency-Matching Diffusion—0
Mitigating Gender Bias in Machine Translation through Adversarial Learning—0
Mitigating Gender Bias in Machine Translation through Adversarial Learning—0
Mitigating Gender Stereotypes in Hindi and Marathi—0
Mitigating Hallucinated Translations in Large Language Models with Hallucination-focused Preference Optimization—0
Mitigating Noisy Inputs for Question Answering—0
MITRE at SemEval-2017 Task 1: Simple Semantic Similarity—0
MITRE: Seven Systems for Semantic Similarity in Tweets—0
Mixed Language and Code-Switching in the Canadian Hansard—0
Mixed Multi-Head Self-Attention for Neural Machine Translation—0
Mixing in Some Knowledge: Enriched Context Patterns for Bayesian Word Sense Induction—0
Mixing Multiple Translation Models in Statistical Machine Translation—0
mixSeq: A Simple Data Augmentation Methodfor Neural Machine Translation—0
Mixtape: Breaking the Softmax Bottleneck Efficiently—0
Mixture Models for Diverse Machine Translation: Tricks of the Trade—0
Mixture of Quantized Experts (MoQE): Complementary Effect of Low-bit Quantization and Robustness—0
Mixup Decoding for Diverse Machine Translation—0
MMPE: A Multi-Modal Interface for Post-Editing Machine Translation—0
MMPE: A Multi-Modal Interface using Handwriting, Touch Reordering, and Speech Commands for Post-Editing Machine Translation—0
MMQA: A Multi-domain Multi-lingual Question-Answering Framework for English and Hindi—0
MMTE: Corpus and Metrics for Evaluating Machine Translation Quality of Metaphorical Language—0
Modality Influence in Multimodal Machine Learning—0
Model Blending for Text Classification—0
Model-Free Context-Aware Word Composition—0
Modeling Coherence for Discourse Neural Machine Translation—0
Modeling Coherence for Neural Machine Translation with Dynamic and Topic Caches—0
Modeling Complement Types in Phrase-Based SMT—0
Modeling Concentrated Cross-Attention for Neural Machine Translation with Gaussian Mixture Model—0
Modeling Confidence in Sequence-to-Sequence Models—0
Modeling Context With Linear Attention for Scalable Document-Level Translation—0
Modeling Coverage for Non-Autoregressive Neural Machine Translation—0
Modeling Discourse Structure for Document-level Neural Machine Translation—0
Modeling Future Cost for Neural Machine Translation—0
Modeling Future for Neural Machine Translation by Fusing Target Information—0
Modeling Global Body Configurations in American Sign Language—0
Modeling Homophone Noise for Robust Neural Machine Translation—0
Modeling Inflection and Word-Formation in SMT—0
Modeling Latent Sentence Structure in Neural Machine Translation—0
Modeling Local Dependence in Natural Language with Multi-channel Recurrent Neural Networks—0
Modeling Localness for Self-Attention Networks—0
Modeling Multi-granularity Segmentation for Rare Words in Neural Machine Translation—0
Modeling Orthographic Variation Improves NLP Performance for Nigerian Pidgin—0
Modeling Recurrence for Transformer—0
Modeling Selectional Preferences of Verbs and Nouns in String-to-Tree Machine Translation—0
Modeling Sentences in the Latent Space—0
Modeling Situations in Neural Chat Bots—0
Modeling Source Syntax for Neural Machine Translation—0
Modeling Syntactic and Semantic Structures in Hierarchical Phrase-based 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