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 2251–2300 of 10752 papers

TitleStatusHype
The RoyalFlush System for the WMT 2022 Efficiency Task—0
Subword-Delimited Downsampling for Better Character-Level TranslationCode0
Tackling Low-Resourced Sign Language Translation: UPC at WMT-SLT 22Code0
Long-Document Cross-Lingual SummarizationCode0
Deep neural network techniques for monaural speech enhancement: state of the art analysis—0
CUNI Systems for the WMT22 Czech-Ukrainian Translation Task—0
Rephrasing the Reference for Non-Autoregressive Machine Translation—0
Findings of the WMT 2022 Shared Task on Translation Suggestion—0
VideoDubber: Machine Translation with Speech-Aware Length Control for Video Dubbing—0
Nonlinear Advantage: Trained Networks Might Not Be As Complex as You Think—0
Domain Mismatch Doesn't Always Prevent Cross-Lingual Transfer Learning—0
Word Alignment in the Era of Deep Learning: A Tutorial—0
Extending the Subwording Model of Multilingual Pretrained Models for New LanguagesCode0
PhraseTransformer: An Incorporation of Local Context Information into Sequence-to-sequence Semantic ParsingCode0
Soft Alignment Objectives for Robust Adaptation of Language GenerationCode0
Summer: WeChat Neural Machine Translation Systems for the WMT22 Biomedical Translation Task—0
Considerations for meaningful sign language machine translation based on glosses—0
Competency-Aware Neural Machine Translation: Can Machine Translation Know its Own Translation Quality?Code0
TorchScale: Transformers at Scale—0
Rank-One Editing of Encoder-Decoder Models—0
ArzEn-ST: A Three-way Speech Translation Corpus for Code-Switched Egyptian Arabic - English—0
L3Cube-MahaSBERT and HindSBERT: Sentence BERT Models and Benchmarking BERT Sentence Representations for Hindi and Marathi—0
Artificial Interrogation for Attributing Language ModelsCode0
A Theory of Unsupervised Translation Motivated by Understanding Animal CommunicationCode0
A Copy Mechanism for Handling Knowledge Base Elements in SPARQL Neural Machine TranslationCode0
Who Says Elephants Can't Run: Bringing Large Scale MoE Models into Cloud Scale Production—0
Reducing Hallucinations in Neural Machine Translation with Feature Attribution—0
Back-Translation-Style Data Augmentation for Mandarin Chinese Polyphone Disambiguation—0
Prompting PaLM for Translation: Assessing Strategies and Performance—0
MT Metrics Correlate with Human Ratings of Simultaneous Speech TranslationCode0
Easy Guided Decoding in Providing Suggestions for Interactive Machine TranslationCode0
Findings of the Covid-19 MLIA Machine Translation Task—0
High-Resource Methodological Bias in Low-Resource Investigations—0
CCPrefix: Counterfactual Contrastive Prefix-Tuning for Many-Class Classification—0
Helping the Weak Makes You Strong: Simple Multi-Task Learning Improves Non-Autoregressive TranslatorsCode0
ERNIE-UniX2: A Unified Cross-lingual Cross-modal Framework for Understanding and Generation—0
Grammatical Error Correction: A Survey of the State of the Art—0
HilMeMe: A Human-in-the-Loop Machine Translation Evaluation Metric Looking into Multi-Word Expressions—0
Review of coreference resolution in English and Persian—0
Conciseness: An Overlooked Language Task—0
Parallel Attention Forcing for Machine Translation—0
Deliberation Networks and How to Train Them—0
A Weakly-Supervised Streaming Multilingual Speech Model with Truly Zero-Shot Capability—0
Continual Learning of Neural Machine Translation within Low Forgetting Risk RegionsCode0
MT-GenEval: A Counterfactual and Contextual Dataset for Evaluating Gender Accuracy in Machine TranslationCode0
A Preliminary Study on Mandarin-Hakka neural machine translation using small-sized data—0
Image Caption Generation for Low-Resource Assamese Language—0
Using Grammatical and Semantic Correction Model to Improve Chinese-to-Taiwanese Machine Translation Fluency—0
Domain Curricula for Code-Switched MT at MixMT 2022—0
Very Low Resource Sentence Alignment: Luhya and Swahili—0
Show:102550
← PrevPage 46 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
5AdminBLEU score43.8—Unverified
6Transformer (ADMIN init)BLEU 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