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 2701–2750 of 10752 papers

TitleStatusHype
GFST: Gender-Filtered Self-Training for More Accurate Gender in TranslationCode0
Encouraging Lexical Translation Consistency for Document-Level Neural Machine Translation—0
Fix-Filter-Fix: Intuitively Connect Any Models for Effective Bug Fixing—0
A Generative Framework for Simultaneous Machine Translation—0
What’s Hidden in a One-layer Randomly Weighted Transformer?Code0
Learning to Rewrite for Non-Autoregressive Neural Machine TranslationCode1
Recurrent Attention for Neural Machine TranslationCode0
Self-Supervised Quality Estimation for Machine Translation—0
Translation-based Supervision for Policy Generation in Simultaneous Neural Machine TranslationCode0
Neural Machine Translation with Heterogeneous Topic Knowledge EmbeddingsCode0
“Wikily” Supervised Neural Translation Tailored to Cross-Lingual Tasks—0
Coupling Context Modeling with Zero Pronoun Recovering for Document-Level Natural Language GenerationCode0
Mutual-Learning Improves End-to-End Speech Translation—0
Controlling Machine Translation for Multiple Attributes with Additive Interventions—0
Improving Multilingual Neural Machine Translation with Auxiliary Source LanguagesCode0
Adapting Entities across Languages and Cultures—0
Gated Transformer for Robust De-noised Sequence-to-Sequence ModellingCode1
Multilingual Neural Machine Translation: Can Linguistic Hierarchies Help?—0
Sequence-to-Lattice Models for Fast Translation—0
Beyond Grammatical Error Correction: Improving L1-influenced research writing in English using pre-trained encoder-decoder modelsCode0
Bandits Don’t Follow Rules: Balancing Multi-Facet Machine Translation with Multi-Armed Bandits—0
Robust Fragment-Based Framework for Cross-lingual Sentence Retrieval—0
Automatic Bilingual Markup TransferCode0
Sometimes We Want Ungrammatical TranslationsCode0
Japanese Zero Anaphora Resolution Can Benefit from Parallel Texts Through Neural Transfer Learning—0
Entity-level Cross-modal Learning Improves Multi-modal Machine Translation—0
Explaining Errors in Machine Translation with Absolute Gradient EnsemblesCode0
Error Identification for Machine Translation with Metric Embedding and Attention—0
Agree to Disagree: Analysis of Inter-Annotator Disagreements in Human Evaluation of Machine Translation Output—0
Arch-Net: Model Distillation for Architecture Agnostic Model DeploymentCode1
Deep Learning Transformer Architecture for Named Entity Recognition on Low Resourced Languages: State of the art results—0
Quality Estimation Using Round-trip Translation with Sentence Embeddings—0
How should human translation coexist with NMT? Efficient tool for building high quality parallel corpus—0
Empirical Analysis of Korean Public AI Hub Parallel Corpora and in-depth Analysis using LIWC—0
Discovering Non-monotonic Autoregressive Orderings with Variational InferenceCode1
Simultaneous Neural Machine Translation with Constituent Label Prediction—0
Assessing Evaluation Metrics for Speech-to-Speech Translation—0
Noisy UGC Translation at the Character Level: Revisiting Open-Vocabulary Capabilities and Robustness of Char-Based ModelsCode0
PhoMT: A High-Quality and Large-Scale Benchmark Dataset for Vietnamese-English Machine TranslationCode1
Video and Text Matching with Conditioned EmbeddingsCode1
Multilingual Unsupervised Neural Machine Translation with Denoising Adapters—0
Discontinuous Grammar as a Foreign LanguageCode0
Permutation invariant graph-to-sequence model for template-free retrosynthesis and reaction predictionCode1
Multilingual Domain Adaptation for NMT: Decoupling Language and Domain Information with Adapters—0
Monotonic Simultaneous Translation with Chunk-wise Reordering and Refinement—0
Training Deep Neural Networks with Adaptive Momentum Inspired by the Quadratic OptimizationCode1
The Arabic Parallel Gender Corpus 2.0: Extensions and Analyses—0
ODE Transformer: An Ordinary Differential Equation-Inspired Model for Sequence Generation—0
Rare but Severe Errors Induced by Minimal Deletions in English-Chinese Neural Machine Translation—0
Finding the Right Recipe for Low Resource Domain Adaptation in Neural Machine Translation—0
Show:102550
← PrevPage 55 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