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 5051–5100 of 10752 papers

TitleStatusHype
On the Importance of Word Boundaries in Character-level Neural Machine TranslationCode0
Mapping Supervised Bilingual Word Embeddings from English to low-resource languagesCode0
Estimating post-editing effort: a study on human judgements, task-based and reference-based metrics of MT qualityCode0
Transformers without Tears: Improving the Normalization of Self-AttentionCode0
From the Paft to the Fiiture: a Fully Automatic NMT and Word Embeddings Method for OCR Post-CorrectionCode0
Context-Gated ConvolutionCode0
Multilingual Question Answering from Formatted Text applied to Conversational Agents—0
On the adequacy of untuned warmup for adaptive optimizationCode0
Novel Applications of Factored Neural Machine Translation—0
One-To-Many Multilingual End-to-end Speech Translation—0
An Interactive Machine Translation Framework for Modernizing Historical Documents—0
Read, Highlight and Summarize: A Hierarchical Neural Semantic Encoder-based ApproachCode0
Adversarial reconstruction for Multi-modal Machine Translation—0
Improving Neural Machine Translation Robustness via Data Augmentation: Beyond Back Translation—0
Human Action Sequence Classification—0
Compositional Generalization for Primitive SubstitutionsCode0
Domain Differential Adaptation for Neural Machine TranslationCode0
On Leveraging the Visual Modality for Neural Machine Translation—0
Overcoming the Rare Word Problem for Low-Resource Language Pairs in Neural Machine Translation—0
How Transformer Revitalizes Character-based Neural Machine Translation: An Investigation on Japanese-Vietnamese Translation SystemsCode0
On Dimensional Linguistic Properties of the Word Embedding SpaceCode0
Modeling Confidence in Sequence-to-Sequence Models—0
Neural Zero-Inflated Quality Estimation Model For Automatic Speech Recognition System—0
Improving Word Embedding Factorization for Compression Using Distilled Nonlinear Neural Decomposition—0
Auto-Sizing the Transformer Network: Improving Speed, Efficiency, and Performance for Low-Resource Machine TranslationCode0
Spatio-Temporal Fusion Based Convolutional Sequence Learning for Lip Reading—0
Grammatical Error Correction in Low-Resource ScenariosCode0
Machine Translation for Machines: the Sentiment Classification Use Case—0
Application of Low-resource Machine Translation Techniques to Russian-Tatar Language Pair—0
A Survey of Methods to Leverage Monolingual Data in Low-resource Neural Machine Translation—0
Better Document-Level Machine Translation with Bayes' Rule—0
Multilingual End-to-End Speech Translation—0
SlowMo: Improving Communication-Efficient Distributed SGD with Slow MomentumCode0
When and Why is Document-level Context Useful in Neural Machine Translation?Code0
Interrogating the Explanatory Power of Attention in Neural Machine TranslationCode0
Regressing Word and Sentence Embeddings for Regularization of Neural Machine Translation—0
Revisiting Self-Training for Neural Sequence GenerationCode0
Named Entity Recognition System for Sindhi Language—0
The Source-Target Domain Mismatch Problem in Machine Translation—0
In-training Matrix Factorization for Parameter-frugal Neural Machine Translation—0
On the use of BERT for Neural Machine Translation—0
Large-scale Pretraining for Neural Machine Translation with Tens of Billions of Sentence Pairs—0
Selecting Artificially-Generated Sentences for Fine-Tuning Neural Machine Translation—0
Attention Forcing for Sequence-to-sequence Model Training—0
Improving Pre-Trained Multilingual Models with Vocabulary Expansion—0
Self-Induced Curriculum Learning in Neural Machine Translation—0
Improved Training Techniques for Online Neural Machine Translation—0
AdaScale SGD: A Scale-Invariant Algorithm for Distributed Training—0
Enhancing Attention with Explicit Phrasal Alignments—0
Molecular Graph Enhanced Transformer for Retrosynthesis Prediction—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