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 55515600 of 10752 papers

TitleStatusHype
Natural Language Generation through Character-based RNNs with Finite-state Prior Knowledge0
Natural Language Interface for Databases Using a Dual-Encoder Model0
Natural Language Processing for Dialectical Arabic: A Survey0
Natural Language Processing for Dialects of a Language: A Survey0
Natural Language Response Generation from SQL with Generalization and Back-translation0
Naver Labs Europe's Systems for the Document-Level Generation and Translation Task at WNGT 20190
Naver Labs Europe's Systems for the WMT19 Machine Translation Robustness Task0
NAVER Machine Translation System for WAT 20150
Navigating with Graph Representations for Fast and Scalable Decoding of Neural Language Models0
Navigational Instruction Generation as Inverse Reinforcement Learning with Neural Machine Translation0
NCU IISR English-Korean and English-Chinese Named Entity Transliteration Using Different Grapheme Segmentation Approaches0
Nearest Neighbor Knowledge Distillation for Neural Machine Translation0
Nearest Neighbor Non-autoregressive Text Generation0
Near Human-Level Performance in Grammatical Error Correction with Hybrid Machine Translation0
Nebula-I: A General Framework for Collaboratively Training Deep Learning Models on Low-Bandwidth Cloud Clusters0
Necessary and Sufficient Watermark for Large Language Models0
NECTEC’s Participation in WAT-20210
Negation and Modality in Machine Translation0
Negation typology and general representation models for cross-lingual zero-shot negation scope resolution in Russian, French, and Spanish.0
Negative Lexical Constraints in Neural Machine Translation0
Negative Lexically Constrained Decoding for Paraphrase Generation0
NegPar: A parallel corpus annotated for negation0
Neighbors Are Not Strangers: Improving Non-Autoregressive Translation under Low-Frequency Lexical Constraints0
NEJM-enzh: A Parallel Corpus for English-Chinese Translation in the Biomedical Domain0
ner and pos when nothing is capitalized0
Netmarble AI Center's WMT21 Automatic Post-Editing Shared Task Submission0
Netmarble AI Center’s WMT21 Automatic Post-Editing Shared Task Submission0
Neural and FST-based approaches to grammatical error correction0
Neural and rule-based Finnish NLP models---expectations, experiments and experiences0
Neural and Statistical Methods for Leveraging Meta-information in Machine Translation0
Neural Architecture Search on Efficient Transformers and Beyond0
Neural Architecture Search with an Efficient Multiobjective Evolutionary Framework0
Neural Architectures for Multilingual Semantic Parsing0
Neural Attention Models for Sequence Classification: Analysis and Application to Key Term Extraction and Dialogue Act Detection0
Neural Automatic Post-Editing Using Prior Alignment and Reranking0
Neural-based Chinese Idiom Recommendation for Enhancing Elegance in Essay Writing0
Neural-based machine translation for medical text domain. Based on European Medicines Agency leaflet texts0
Neural Baselines for Word Alignment0
Neural Caption Generation for News Images0
Neural Clinical Paraphrase Generation with Attention0
Neural Event Extraction from Movies Description0
Neural Fuzzy Repair: Integrating Fuzzy Matches into Neural Machine Translation0
Neural Grammatical Error Correction with Finite State Transducers0
Neural Headline Generation on Abstract Meaning Representation0
Neural Hidden Markov Model for Machine Translation0
Neural Image Captioning0
Neural Interactive Translation Prediction0
Neural Knowledge Bank for Pretrained Transformers0
Neural Lattice Search for Domain Adaptation in Machine Translation0
Neural Machine Translation Advised by Statistical Machine Translation0
Show:102550
← PrevPage 112 of 216Next →

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