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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 2301–2350 of 10752 papers

TitleStatusHype
Towards Better Chinese-centric Neural Machine Translation for Low-resource LanguagesCode1
C-NMT: A Collaborative Inference Framework for Neural Machine Translation—0
PharmMT: A Neural Machine Translation Approach to Simplify Prescription Directions—0
MMTAfrica: Multilingual Machine Translation for African LanguagesCode1
Advancing Semi-Supervised Learning for Automatic Post-Editing: Data-Synthesis by Mask-Infilling with Erroneous Terms—0
GigaST: A 10,000-hour Pseudo Speech Translation CorpusCode1
Quick Starting Dialog Systems with Paraphrase Generation—0
Enhanced Direct Speech-to-Speech Translation Using Self-supervised Pre-training and Data Augmentation—0
Parameter-Efficient Neural Reranking for Cross-Lingual and Multilingual RetrievalCode0
Spatio-Temporal Analysis of Transformer based Architecture for Attention Estimation from EEG—0
Accurate Online Posterior Alignments for Principled Lexically-Constrained Decoding—0
CipherDAug: Ciphertext based Data Augmentation for Neural Machine TranslationCode1
Uncertainty Determines the Adequacy of the Mode and the Tractability of Decoding in Sequence-to-Sequence Models—0
indic-punct: An automatic punctuation restoration and inverse text normalization framework for Indic languagesCode1
Reproducibility Issues for BERT-based Evaluation MetricsCode0
DePA: Improving Non-autoregressive Machine Translation with Dependency-Aware DecoderCode0
Speculative Decoding: Exploiting Speculative Execution for Accelerating Seq2seq GenerationCode1
Visualizing the Relationship Between Encoded Linguistic Information and Task Performance—0
Investigating Data Variance in Evaluations of Automatic Machine Translation Metrics—0
Can NMT Understand Me? Towards Perturbation-based Evaluation of NMT Models for Code Generation—0
An Evaluation Dataset for Legal Word Embedding: A Case Study On Chinese CodexCode0
On Decoding Strategies for Neural Text Generators—0
A Roadmap for Big Model—0
Data Selection Curriculum for Neural Machine Translation—0
Modeling Target-Side Morphology in Neural Machine Translation: A Comparison of Strategies—0
Single Model Ensemble for Subword Regularized Models in Low-Resource Machine Translation—0
SMARAGD: Learning SMatch for Accurate and Rapid Approximate Graph DistanceCode0
Multilingual CheckList: Generation and Evaluation—0
Linearizing Transformer with Key-Value Memory—0
Integrating Vectorized Lexical Constraints for Neural Machine TranslationCode1
Learning Confidence for Transformer-based Neural Machine TranslationCode1
Towards Explainable Evaluation Metrics for Natural Language GenerationCode1
Small Batch Sizes Improve Training of Low-Resource Neural MT—0
STEMM: Self-learning with Speech-text Manifold Mixup for Speech TranslationCode1
Mitigating Gender Bias in Machine Translation through Adversarial Learning—0
Neural Machine Translation with Phrase-Level Universal Visual RepresentationsCode1
BIOS: An Algorithmically Generated Biomedical Knowledge Graph—0
Reducing Position Bias in Simultaneous Machine Translation with Length-Aware Framework—0
ODE Transformer: An Ordinary Differential Equation-Inspired Model for Sequence GenerationCode1
Modeling Dual Read/Write Paths for Simultaneous Machine TranslationCode1
An Imitation Learning Curriculum for Text Editing with Non-Autoregressive Models—0
Gaussian Multi-head Attention for Simultaneous Machine TranslationCode1
On Vision Features in Multimodal Machine TranslationCode1
Triangular Transfer: Freezing the Pivot for Triangular Machine Translation—0
Universal Conditional Masked Language Pre-training for Neural Machine Translation—0
Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation—0
Bridging the Data Gap between Training and Inference for Unsupervised Neural Machine TranslationCode1
BPE vs. Morphological Segmentation: A Case Study on Machine Translation of Four Polysynthetic Languages—0
Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training DataCode1
Pre-Trained Multilingual Sequence-to-Sequence Models: A Hope for Low-Resource Language 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