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 50515075 of 10752 papers

TitleStatusHype
MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover DistanceCode0
FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative FlowCode1
Accelerating Transformer Decoding via a Hybrid of Self-attention and Recurrent Neural Network0
Multi-Granularity Self-Attention for Neural Machine Translation0
Investigating Multilingual NMT Representations at Scale0
Source Dependency-Aware Transformer with Supervised Self-Attention0
Problems with automating translation of movie/TV show subtitles0
Jointly Learning to Align and Translate with Transformer Models0
Towards Better Modeling Hierarchical Structure for Self-Attention with Ordered Neurons0
SAO WMT19 Test Suite: Machine Translation of Audit ReportsCode0
The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives0
Multi-agent Learning for Neural Machine Translation0
Context-Aware Monolingual Repair for Neural Machine TranslationCode1
Improving Context-aware Neural Machine Translation with Target-side Context0
Hybrid Data-Model Parallel Training for Sequence-to-Sequence Recurrent Neural Network Machine Translation0
Statistical Machine Translation between Myanmar (Burmese) and Dawei (Tavoyan)0
The OPUS Resource Repository: An Open Package for Creating Parallel Corpora and Machine Translation Services0
Comparison between NMT and PBSMT Performance for Translating Noisy User-Generated Content0
Taking MT Evaluation Metrics to Extremes: Beyond Correlation with Human Judgments0
Combining PBSMT and NMT Back-translated Data for Efficient NMT0
Are ambiguous conjunctions problematic for machine translation?0
Exploring Adequacy Errors in Neural Machine Translation with the Help of Cross-Language Aligned Word Embeddings0
Optimising the Machine Translation Post-editing Workflow0
Enhancing Phrase-Based Statistical Machine Translation by Learning Phrase Representations Using Long Short-Term Memory Network0
The Punster's Amanuensis: The Proper Place of Humans and Machines in the Translation of Wordplay0
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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
5Transformer (ADMIN init)BLEU score43.8Unverified
6AdminBLEU 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