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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 2651–2700 of 10752 papers

TitleStatusHype
Similar Language Translation for Catalan, Portuguese and Spanish Using Marian NMT—0
A Fine-Grained Analysis of BERTScore—0
NITK-UoH: Tamil-Telugu Machine Translation Systems for the WMT21 Similar Language Translation Task—0
Maastricht University’s Large-Scale Multilingual Machine Translation System for WMT 2021—0
QEMind: Alibaba’s Submission to the WMT21 Quality Estimation Shared Task—0
NRC-CNRC Systems for Upper Sorbian-German and Lower Sorbian-German Machine Translation 2021—0
To Optimize, or Not to Optimize, That Is the Question: TelU-KU Models for WMT21 Large-Scale Multilingual Machine Translation—0
The LMU Munich System for the WMT 2021 Large-Scale Multilingual Machine Translation Shared Task—0
Improving Machine Translation of Rare and Unseen Word Senses—0
Pruning Neural Machine Translation for Speed Using Group Lasso—0
Data Processing Matters: SRPH-Konvergen AI’s Machine Translation System for WMT’21—0
Findings of the WMT Shared Task on Machine Translation Using Terminologies—0
Unsupervised Translation of German–Lower Sorbian: Exploring Training and Novel Transfer Methods on a Low-Resource Language—0
Kakao Enterprise’s WMT21 Machine Translation Using Terminologies Task Submission—0
NVIDIA NeMo’s Neural Machine Translation Systems for English-German and English-Russian News and Biomedical Tasks at WMT21—0
Just Ask! Evaluating Machine Translation by Asking and Answering QuestionsCode0
DUTNLP Machine Translation System for WMT21 Triangular Translation Task—0
Findings of the WMT 2021 Shared Task on Quality Estimation—0
Findings of the WMT 2021 Shared Task on Large-Scale Multilingual Machine Translation—0
Tencent AI Lab Machine Translation Systems for the WMT21 Biomedical Translation Task—0
Huawei AARC’s Submissions to the WMT21 Biomedical Translation Task: Domain Adaption from a Practical Perspective—0
Contrastive Learning for Context-aware Neural Machine Translation Using Coreference Information—0
The Mininglamp Machine Translation System for WMT21—0
Multilingual Machine Translation Evaluation Metrics Fine-tuned on Pseudo-Negative Examples for WMT 2021 Metrics Task—0
Efficient Machine Translation with Model Pruning and Quantization—0
Transfer Learning with Shallow Decoders: BSC at WMT2021’s Multilingual Low-Resource Translation for Indo-European Languages Shared TaskCode0
Findings of the 2021 Conference on Machine Translation (WMT21)—0
Findings of the WMT 2021 Shared Task on Efficient Translation—0
Neural Machine Translation for Tamil–Telugu Pair—0
Machine Translation for Zero and Low-resourced Dialects using a New Extended Version of the Dialectal Parallel Corpus (Padic v2.0)—0
Syntax in End-to-End Natural Language Processing—0
SpanAlign: Efficient Sequence Tagging Annotation Projection into Translated Data applied to Cross-Lingual Opinion Mining—0
Lazy Low-Resource Coreference Resolution: a Study on Leveraging Black-Box Translation Tools—0
Coreference by Appearance: Visually Grounded Event Coreference Resolution—0
Don’t Go Far Off: An Empirical Study on Neural Poetry Translation—0
Language-agnostic Representation from Multilingual Sentence Encoders for Cross-lingual Similarity EstimationCode0
Backtranslation in Neural Morphological Inflection—0
MiSS: An Assistant for Multi-Style Simultaneous Translation—0
An Empirical Investigation of Word Alignment Supervision for Zero-Shot Multilingual Neural Machine Translation—0
Investigating the Helpfulness of Word-Level Quality Estimation for Post-Editing Machine Translation OutputCode0
Wino-X: Multilingual Winograd Schemas for Commonsense Reasoning and Coreference ResolutionCode0
Set Generation Networks for End-to-End Knowledge Base Population—0
I Wish I Would Have Loved This One, But I Didn’t – A Multilingual Dataset for Counterfactual Detection in Product ReviewCode1
Two Heads are Better than One? Verification of Ensemble Effect in Neural Machine Translation—0
Improving the Quality Trade-Off for Neural Machine Translation Multi-Domain Adaptation—0
Recurrent Attention for the Transformer—0
Mutual-Learning Improves End-to-End Speech Translation—0
A Large-Scale Study of Machine Translation in Turkic LanguagesCode1
Learning to Rewrite for Non-Autoregressive Neural Machine TranslationCode1
A Generative Framework for Simultaneous Machine 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