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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 3851–3900 of 10752 papers

TitleStatusHype
The NITS-CNLP System for the Unsupervised MT Task at WMT 2020—0
Low-Resource Translation as Language Modeling—0
Tencent submission for WMT20 Quality Estimation Shared Task—0
Tencent AI Lab Machine Translation Systems for the WMT20 Biomedical Translation TaskCode1
JUST System for WMT20 Chat Translation Task—0
Findings of the First Shared Task on Lifelong Learning Machine Translation—0
Neural Machine Translation between similar South-Slavic languages—0
Evaluation of Machine Translation Methods applied to Medical Terminologies—0
The Tatoeba Translation Challenge – Realistic Data Sets for Low Resource and Multilingual MT—0
Findings of the WMT 2020 Shared Task on Automatic Post-Editing—0
The NiuTrans Machine Translation Systems for WMT20—0
Hindi-Marathi Cross Lingual Model—0
Findings of the WMT 2020 Shared Task on Quality Estimation—0
YerevaNN’s Systems for WMT20 Biomedical Translation Task: The Effect of Fixing Misaligned Sentence Pairs—0
The University of Edinburgh’s English-Tamil and English-Inuktitut Submissions to the WMT20 News Translation Task—0
Findings of the WMT 2020 Biomedical Translation Shared Task: Basque, Italian and Russian as New Additional LanguagesCode1
Huawei’s Submissions to the WMT20 Biomedical Translation Task—0
On the Same Page? Comparing Inter-Annotator Agreement in Sentence and Document Level Human Machine Translation Evaluation—0
Findings of the WMT 2020 Shared Task on Machine Translation Robustness—0
Findings of the WMT 2020 Shared Tasks in Unsupervised MT and Very Low Resource Supervised MT—0
A3-108 Machine Translation System for Similar Language Translation Shared Task 2020—0
Two-Phase Cross-Lingual Language Model Fine-Tuning for Machine Translation Quality Estimation—0
Tencent AI Lab Machine Translation Systems for WMT20 Chat Translation Task—0
Towards a Better Evaluation of Metrics for Machine Translation—0
Document Level NMT of Low-Resource Languages with Backtranslation—0
SJTU-NICT’s Supervised and Unsupervised Neural Machine Translation Systems for the WMT20 News Translation Task—0
Multilingual Neural Machine Translation: Case-study for Catalan, Spanish and Portuguese Romance Languages—0
Improving Parallel Data Identification using Iteratively Refined Sentence Alignments and Bilingual Mappings of Pre-trained Language Models—0
DiDi’s Machine Translation System for WMT2020—0
Pretrained Language Models and Backtranslation for English-Basque Biomedical Neural Machine Translation—0
OPPO’s Machine Translation Systems for WMT20—0
Ixamed’s submission description for WMT20 Biomedical shared task: benefits and limitations of using terminologies for domain adaptation—0
Infosys Machine Translation System for WMT20 Similar Language Translation Task—0
Linguistically Motivated Subwords for English-Tamil Translation: University of Groningen’s Submission to WMT-2020—0
NRC Systems for the 2020 Inuktitut-English News Translation Task—0
Machine Translation for English–Inuktitut with Segmentation, Data Acquisition and Pre-Training—0
The ADAPT System Description for the WMT20 News Translation Task—0
ParBLEU: Augmenting Metrics with Automatic Paraphrases for the WMT’20 Metrics Shared Task—0
NRC Systems for Low Resource German-Upper Sorbian Machine Translation 2020: Transfer Learning with Lexical Modifications—0
Adobe AMPS’s Submission for Very Low Resource Supervised Translation Task at WMT20—0
Data Selection for Unsupervised Translation of German–Upper Sorbian—0
Transformer-based Neural Machine Translation System for Hindi – Marathi: WMT20 Shared Task—0
NMT based Similar Language Translation for Hindi - Marathi—0
Attention Transformer Model for Translation of Similar LanguagesCode0
The ADAPT’s Submissions to the WMT20 Biomedical Translation Task—0
Filtering Noisy Parallel Corpus using Transformers with Proxy Task LearningCode1
UdS-DFKI@WMT20: Unsupervised MT and Very Low Resource Supervised MT for German-Upper Sorbian—0
WMT20 Document-Level Markable Error ExplorationCode0
The NiuTrans System for the WMT20 Quality Estimation Shared Task—0
A Study of Residual Adapters for Multi-Domain Neural Machine TranslationCode0
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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