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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3801–3850 of 10752 papers

TitleStatusHype
Corpus and dictionary development for classifiers/quantifiers towards a French-Japanese machine translation—0
Faithfulness in Natural Language Generation: A Systematic Survey of Analysis, Evaluation and Optimization Methods—0
False-Friend Detection and Entity Matching via Unsupervised Transliteration—0
Chinese in the Grammatical Framework: Grammar, Translation, and Other Applications Anonymous—0
Family of Origin and Family of Choice: Massively Parallel Lexiconized Iterative Pretraining for Severely Low Resource Machine Translation—0
FAMOUS: Flexible Accelerator for the Attention Mechanism of Transformer on UltraScale+ FPGAs—0
A tree is a Baum is an \'arbol is a sach'a: Creating a trilingual treebank—0
Fast and Accurate Neural Machine Translation with Translation Memory—0
Fast and Accurate Preordering for SMT using Neural Networks—0
Fast and Accurate Reordering with ITG Transition RNN—0
Fast and Adaptive Online Training of Feature-Rich Translation Models—0
Fast and highly parallelizable phrase table for statistical machine translation—0
Fast and Robust Neural Network Joint Models for Statistical Machine Translation—0
Fast and Scalable Decoding with Language Model Look-Ahead for Phrase-based Statistical Machine Translation—0
Chinese Song Iambics Generation with Neural Attention-based Model—0
Fast Collocation-Based Bayesian HMM Word Alignment—0
FastCorrect: Fast Error Correction with Edit Alignment for Automatic Speech Recognition—0
Fast Decoding in Sequence Models using Discrete Latent Variables—0
Fast Domain Adaptation for Neural Machine Translation—0
Fast Domain Adaptation of SMT models without in-Domain Parallel Data—0
Faster and Lighter Phrase-based Machine Translation Baseline—0
Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction—0
Chinese-to-Japanese Patent Machine Translation based on Syntactic Pre-ordering forWAT 2015—0
Faster Nearest Neighbor Machine Translation—0
Faster Nearest Neighbor Machine Translation—0
Faster Phrase-Based Decoding by Refining Feature State—0
Faster Re-translation Using Non-Autoregressive Model For Simultaneous Neural Machine Translation—0
Faster Shift-Reduce Constituent Parsing with a Non-Binary, Bottom-Up Strategy—0
Faster Training of Very Deep Networks Via p-Norm Gates—0
Fast Gated Neural Domain Adaptation: Language Model as a Case Study—0
Fast Inference in Phrase Extraction Models with Belief Propagation—0
Fast Interleaved Bidirectional Sequence Generation—0
Fast Lexically Constrained Decoding with Dynamic Beam Allocation for Neural Machine Translation—0
Fast Locality Sensitive Hashing for Beam Search on GPU—0
A Multi-media Approach to Cross-lingual Entity Knowledge Transfer—0
Corpora Generation for Grammatical Error Correction—0
Fast Neural Machine Translation Implementation—0
Fast Node Embeddings: Learning Ego-Centric Representations—0
Corpora for Document-Level Neural Machine Translation—0
Fast Quantum Algorithm for Attention Computation—0
Addressing Posterior Collapse with Mutual Information for Improved Variational Neural Machine Translation—0
Fast, Scalable Phrase-Based SMT Decoding—0
Corpora for Cross-Language Information Retrieval in Six Less-Resourced Languages—0
Co-regularizing character-based and word-based models for semi-supervised Chinese word segmentation—0
chrF: character n-gram F-score for automatic MT evaluation—0
How Does Distilled Data Complexity Impact the Quality and Confidence of Non-Autoregressive Machine Translation?—0
A Multilingual Wikified Data Set of Educational Material—0
Fast Training of NMT Model with Data Sorting—0
chrF++: words helping character n-grams—0
A Comparative Study of Post-editing Guidelines—0
Show:102550
← PrevPage 77 of 216Next →
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