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

Showing 46514700 of 10752 papers

TitleStatusHype
Word Sense Disambiguation: A comprehensive knowledge exploitation framework0
A Finite State Transducer Based Morphological Analyzer of Maithili Language0
Robust Unsupervised Neural Machine Translation with Adversarial Denoising Training0
Do all Roads Lead to Rome? Understanding the Role of Initialization in Iterative Back-Translation0
Modeling Future Cost for Neural Machine Translation0
Echo State Neural Machine Translation0
Train Large, Then Compress: Rethinking Model Size for Efficient Training and Inference of TransformersCode1
Marathi To English Neural Machine Translation With Near Perfect Corpus And TransformersCode0
MuST-Cinema: a Speech-to-Subtitles corpus0
Fixed Encoder Self-Attention Patterns in Transformer-Based Machine Translation0
GRET: Global Representation Enhanced Transformer0
A^3: Accelerating Attention Mechanisms in Neural Networks with Approximation0
Machine Translation System Selection from Bandit Feedback0
Addressing Some Limitations of Transformers with Feedback MemoryCode1
Guider l'attention dans les modeles de sequence a sequence pour la prediction des actes de dialogue0
Scalable Second Order Optimization for Deep LearningCode0
Balancing Cost and Benefit with Tied-Multi Transformers0
Guiding attention in Sequence-to-sequence models for Dialogue Act predictionCode0
Towards Making the Most of Context in Neural Machine TranslationCode1
Uncertainty Estimation in Autoregressive Structured Prediction0
A Survey of Deep Learning Techniques for Neural Machine TranslationCode1
On the Discrepancy between Density Estimation and Sequence Generation0
Incorporating BERT into Neural Machine TranslationCode1
Neural Machine Translation with Joint RepresentationCode1
Multi-layer Representation Fusion for Neural Machine TranslationCode0
Deep Learning for Source Code Modeling and Generation: Models, Applications and ChallengesCode0
Mask & Focus: Conversation Modelling by Learning Concepts0
Learning Coupled Policies for Simultaneous Machine Translation using Imitation Learning0
A Probabilistic Formulation of Unsupervised Text Style TransferCode1
Explainable Deep RDFS Reasoner0
FastWave: Accelerating Autoregressive Convolutional Neural Networks on FPGA0
Importance-Driven Deep Learning System Testing0
Time-aware Large Kernel ConvolutionsCode1
Translating Web Search Queries into Natural Language Questions0
A Multilingual View of Unsupervised Machine Translation0
Compositional Neural Machine Translation by Removing the Lexicon from Syntax0
Neural Machine Translation System of Indic Languages -- An Attention based ApproachCode1
Massively Multilingual Document Alignment with Cross-lingual Sentence-Mover's DistanceCode0
The Secret is in the Spectra: Predicting Cross-lingual Task Performance with Spectral Similarity Measures0
AMR Similarity Metrics from PrinciplesCode1
Unsupervised Multilingual Alignment using Wasserstein BarycenterCode0
PMIndia -- A Collection of Parallel Corpora of Languages of IndiaCode1
Semi-Autoregressive Training Improves Mask-Predict Decoding0
Pre-training via Leveraging Assisting Languages and Data Selection for Neural Machine Translation0
Normalization of Input-output Shared Embeddings in Text Generation Models0
A Simple Baseline to Semi-Supervised Domain Adaptation for Machine TranslationCode1
Multilingual Denoising Pre-training for Neural Machine TranslationCode1
From Speech-to-Speech Translation to Automatic Dubbing0
Non-Autoregressive Machine Translation with Disentangled Context TransformerCode1
Bi-Decoder Augmented Network for Neural Machine Translation0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Transformer Cycle (Rev)BLEU score35.14Unverified
2Noisy back-translationBLEU score35Unverified
3Transformer+Rep(Uni)BLEU score33.89Unverified
4T5-11BBLEU score32.1Unverified
5BiBERTBLEU score31.26Unverified
6Transformer + R-DropBLEU score30.91Unverified
7Bi-SimCutBLEU score30.78Unverified
8BERT-fused NMTBLEU score30.75Unverified
9Data Diversification - TransformerBLEU score30.7Unverified
10SimCutBLEU score30.56Unverified
#ModelMetricClaimedVerifiedStatus
1Transformer+BT (ADMIN init)BLEU score46.4Unverified
2Noisy back-translationBLEU score45.6Unverified
3mRASP+Fine-TuneBLEU score44.3Unverified
4Transformer + R-DropBLEU score43.95Unverified
5Transformer (ADMIN init)BLEU score43.8Unverified
6AdminBLEU score43.8Unverified
7BERT-fused NMTBLEU score43.78Unverified
8MUSE(Paralllel Multi-scale Attention)BLEU score43.5Unverified
9T5BLEU score43.4Unverified
10Local Joint Self-attentionBLEU score43.3Unverified
#ModelMetricClaimedVerifiedStatus
1PiNMTBLEU score40.43Unverified
2BiBERTBLEU score38.61Unverified
3Bi-SimCutBLEU score38.37Unverified
4Cutoff + Relaxed Attention + LMBLEU score37.96Unverified
5DRDABLEU score37.95Unverified
6Transformer + R-Drop + CutoffBLEU score37.9Unverified
7SimCutBLEU score37.81Unverified
8Cutoff+KneeBLEU score37.78Unverified
9CutoffBLEU score37.6Unverified
10CipherDAugBLEU score37.53Unverified
#ModelMetricClaimedVerifiedStatus
1HWTSC-Teacher-SimScore19.97Unverified
2MS-COMET-22Score19.89Unverified
3MS-COMET-QE-22Score19.76Unverified
4KG-BERTScoreScore17.28Unverified
5metricx_xl_DA_2019Score17.17Unverified
6COMET-QEScore16.8Unverified
7COMET-22Score16.31Unverified
8UniTE-srcScore15.68Unverified
9UniTE-refScore15.38Unverified
10metricx_xxl_DA_2019Score15.24Unverified