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 97519775 of 10752 papers

TitleStatusHype
Toward Universal Dependencies for Shipibo-Konibo0
Toward verbalizing ontologies in isiZulu0
Toxicity in Multilingual Machine Translation at Scale0
Toxic Subword Pruning for Dialogue Response Generation on Large Language Models0
The Multilingual Microblog Translation Corpus: Improving and Evaluating Translation of User-Generated Text0
TQ-AutoTest -- An Automated Test Suite for (Machine) Translation Quality0
TQDL: Integrated Models for Cross-Language Document Retrieval0
Traditional Machine Learning and Deep Learning Models for Argumentation Mining in Russian Texts0
Traduction automatique \`a partir de corpus comparables: extraction de phrases parall\`eles \`a partir de donn\'ees comparables multimodales (Automatic Translation from Comparable corpora : extracting parallel sentences from multimodal comparable corpora) [in French]0
Traduction automatique du japonais vers le fran Bilan et perspectives (Machine Translation from Japanese to French - Review and Prospects)0
Traffic transformer: Capturing the continuity and periodicity of time series for traffic forecasting0
Zero-Resource Neural Machine Translation with Monolingual Pivot Data0
Train Big, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers0
Training a Bilingual Language Model by Mapping Tokens onto a Shared Character Space0
The IMAGACT4ALL Ontology of Animated Images: Implications for Theoretical and Machine Translation of Action Verbs from English-Indian Languages0
Training and Inference Methods for High-Coverage Neural Machine Translation0
Training and Meta-Evaluating Machine Translation Evaluation Metrics at the Paragraph Level0
With or without post-editing processes? Evidence for a gap in machine translation evaluation0
Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data0
The MLLP-UPV Supervised Machine Translation Systems for WMT19 News Translation Task0
With or without you? Effects of using machine translation to write flash fiction in the foreign language0
Training Deep Networks with Stochastic Gradient Normalized by Layerwise Adaptive Second Moments0
The MLLP-UPV Spanish-Portuguese and Portuguese-Spanish Machine Translation Systems for WMT19 Similar Language Translation Task0
Training Flexible Depth Model by Multi-Task Learning for Neural Machine Translation0
Without Further Ado: Direct and Simultaneous Speech Translation by AppTek in 20210
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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
5AdminBLEU score43.8Unverified
6Transformer (ADMIN init)BLEU 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