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 2451–2500 of 10752 papers

TitleStatusHype
Translated Texts Under the Lens: From Machine Translation Detection to Source Language Identification—0
Defending against Backdoor Attacks in Natural Language Generation—0
A Graph Fusion Approach for Cross-Lingual Machine Reading Comprehension—0
Bi-SimCut: A Simple Strategy for Boosting Neural Machine Translation—0
Semantically Informed Slang Interpretation—0
DEEP: DEnoising Entity Pre-training for Neural Machine Translation—0
Bilingual Lexicon Induction for Low-Resource Languages using Graph Matching via Optimal Transport—0
Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand—0
Better Uncertainty Quantification for Machine Translation Evaluation—0
Investigating Math Word Problems using Pretrained Multilingual Language Models—0
On the Effectiveness of Quasi Character-Level Models for Machine Translation—0
Original or Translated? A Causal Analysis of the Impact of Translationese on Machine Translation Performance—0
Non-Autoregressive Neural Machine Translation with Consistency Regularization Optimized Variational Framework—0
Faster Nearest Neighbor Machine Translation—0
Nearest Neighbor Knowledge Distillation for Neural Machine Translation—0
Investigating the Roots of Gender Bias in Machine Translation: Observations on Gender Transfer between French and English—0
Latent Group Dropout for Multilingual and Multidomain Machine Translation—0
Improving both domain robustness and domain adaptability in machine translation—0
Embedding-Enhanced GIZA++: Improving Low-Resource Word Alignment Using Embeddings—0
Cost-Effective Training in Low-Resource Neural Machine Translation—0
An Ensemble Approach to Acronym Extraction using TransformersCode0
Towards the Next 1000 Languages in Multilingual Machine Translation: Exploring the Synergy Between Supervised and Self-Supervised Learning—0
PAEG: Phrase-level Adversarial Example Generation for Neural Machine Translation—0
SMDT: Selective Memory-Augmented Neural Document Translation—0
A Discriminative Hierarchical PLDA-based Model for Spoken Language RecognitionCode1
Smooth Maximum Unit: Smooth Activation Function for Deep Networks Using Smoothing Maximum Technique—0
ViNMT: Neural Machine Translation ToolkitCode0
How do lexical semantics affect translation? An empirical studyCode0
QEMind: Alibaba's Submission to the WMT21 Quality Estimation Shared Task—0
Utilizing Wordnets for Cognate Detection among Indian Languages—0
Frequency-Aware Contrastive Learning for Neural Machine Translation—0
EvoMoE: An Evolutional Mixture-of-Experts Training Framework via Dense-To-Sparse GateCode1
Towards continual task learning in artificial neural networks: current approaches and insights from neuroscienceCode1
A Preordered RNN Layer Boosts Neural Machine Translation in Low Resource Settings—0
Synchronized Audio-Visual Frames with Fractional Positional Encoding for Transformers in Video-to-Text Translation—0
"A Passage to India": Pre-trained Word Embeddings for Indian Languages—0
HOPE: A Task-Oriented and Human-Centric Evaluation Framework Using Professional Post-Editing Towards More Effective MT EvaluationCode0
Parameter Differentiation based Multilingual Neural Machine TranslationCode1
Self-Distillation Mixup Training for Non-autoregressive Neural Machine Translation—0
Diformer: Directional Transformer for Neural Machine Translation—0
Joint-training on Symbiosis Networks for Deep Nueral Machine Translation models—0
Spiral Language Modeling—0
Load-balanced Gather-scatter Patterns for Sparse Deep Neural Networks—0
Few-shot Learning with Multilingual Language ModelsCode1
Task-Oriented Multi-User Semantic Communications—0
Speeding Up Entmax—0
Hybrid-Regressive Neural Machine Translation—0
A singular Riemannian geometry approach to Deep Neural Networks I. Theoretical foundations—0
Challenge Dataset of Cognates and False Friend Pairs from Indian LanguagesCode0
Automated Deep Learning: Neural Architecture Search Is Not the EndCode2
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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