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 3151–3200 of 10752 papers

TitleStatusHype
Low Resource Similar Language Neural Machine Translation for Tamil-Telugu—0
Backtranslation in Neural Morphological Inflection—0
Multilingual Neural Machine Translation: Can Linguistic Hierarchies Help?—0
Encouraging Lexical Translation Consistency for Document-Level Neural Machine Translation—0
“Wikily” Supervised Neural Translation Tailored to Cross-Lingual Tasks—0
Enlivening Redundant Heads in Multi-head Self-attention for Machine Translation—0
An Empirical Investigation of Word Alignment Supervision for Zero-Shot Multilingual Neural Machine Translation—0
Linguistic Evaluation for the 2021 State-of-the-art Machine Translation Systems for German to English and English to German—0
DELA Corpus - A Document-Level Corpus Annotated with Context-Related IssuesCode0
Deep Learning Transformer Architecture for Named Entity Recognition on Low Resourced Languages: State of the art results—0
Lazy Low-Resource Coreference Resolution: a Study on Leveraging Black-Box Translation Tools—0
Sequence-to-Lattice Models for Fast Translation—0
Translation-based Supervision for Policy Generation in Simultaneous Neural Machine TranslationCode0
SpanAlign: Efficient Sequence Tagging Annotation Projection into Translated Data applied to Cross-Lingual Opinion Mining—0
MTEQA at WMT21 Metrics Shared Task—0
Findings of the WMT Shared Task on Machine Translation Using Terminologies—0
QEMind: Alibaba’s Submission to the WMT21 Quality Estimation Shared Task—0
Data Processing Matters: SRPH-Konvergen AI’s Machine Translation System for WMT’21—0
Efficient Machine Translation with Model Pruning and Quantization—0
TenTrans Large-Scale Multilingual Machine Translation System for WMT21—0
Findings of the WMT 2021 Shared Task on Large-Scale Multilingual Machine Translation—0
Automatic Bilingual Markup TransferCode0
Pruning Neural Machine Translation for Speed Using Group Lasso—0
Improving Multilingual Neural Machine Translation with Auxiliary Source LanguagesCode0
MiSS: An Assistant for Multi-Style Simultaneous Translation—0
Multilingual Machine Translation Evaluation Metrics Fine-tuned on Pseudo-Negative Examples for WMT 2021 Metrics Task—0
Transfer Learning with Shallow Decoders: BSC at WMT2021’s Multilingual Low-Resource Translation for Indo-European Languages Shared TaskCode0
On the Stability of System Rankings at WMTCode0
Sometimes We Want Ungrammatical TranslationsCode0
Language-agnostic Representation from Multilingual Sentence Encoders for Cross-lingual Similarity EstimationCode0
The Mininglamp Machine Translation System for WMT21—0
SYSTRAN @ WMT 2021: Terminology Task—0
Coupling Context Modeling with Zero Pronoun Recovering for Document-Level Natural Language GenerationCode0
Huawei AARC’s Submissions to the WMT21 Biomedical Translation Task: Domain Adaption from a Practical Perspective—0
Lingua Custodia’s Participation at the WMT 2021 Machine Translation Using Terminologies Shared Task—0
Tencent AI Lab Machine Translation Systems for the WMT21 Biomedical Translation Task—0
Coreference by Appearance: Visually Grounded Event Coreference Resolution—0
Recurrent Attention for the Transformer—0
Just Ask! Evaluating Machine Translation by Asking and Answering QuestionsCode0
Neural Machine Translation with Heterogeneous Topic Knowledge EmbeddingsCode0
NITK-UoH: Tamil-Telugu Machine Translation Systems for the WMT21 Similar Language Translation Task—0
Controlling Machine Translation for Multiple Attributes with Additive Interventions—0
Error Identification for Machine Translation with Metric Embedding and Attention—0
Contrastive Learning for Context-aware Neural Machine Translation Using Coreference Information—0
Improving Machine Translation of Rare and Unseen Word Senses—0
The LMU Munich Systems for the WMT21 Unsupervised and Very Low-Resource Translation Task—0
The LMU Munich System for the WMT 2021 Large-Scale Multilingual Machine Translation Shared Task—0
Improving the Quality Trade-Off for Neural Machine Translation Multi-Domain Adaptation—0
GTCOM Neural Machine Translation Systems for WMT21—0
Japanese Zero Anaphora Resolution Can Benefit from Parallel Texts Through Neural Transfer Learning—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