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 1401–1450 of 10752 papers

TitleStatusHype
Multi-Path Transformer is Better: A Case Study on Neural Machine Translation—0
Multi-Teacher Knowledge Distillation For Text Image Machine TranslationCode0
E2TIMT: Efficient and Effective Modal Adapter for Text Image Machine TranslationCode0
CharSpan: Utilizing Lexical Similarity to Enable Zero-Shot Machine Translation for Extremely Low-resource Languages—0
Who Needs Decoders? Efficient Estimation of Sequence-level Attributes—0
Accessible Instruction-Following Agent—0
LABO: Towards Learning Optimal Label Regularization via Bi-level Optimization—0
MultiTACRED: A Multilingual Version of the TAC Relation Extraction DatasetCode1
Target-Side Augmentation for Document-Level Machine TranslationCode1
Leveraging Synthetic Targets for Machine Translation—0
Exploring Human-Like Translation Strategy with Large Language ModelsCode2
Label-Free Multi-Domain Machine Translation with Stage-wise Training—0
A Low-Resource Approach to the Grammatical Error Correction of UkrainianCode0
Implications of Multi-Word Expressions on English to Bharti Braille Machine Translation—0
Sparsifying Bayesian neural networks with latent binary variables and normalizing flowsCode0
In-context Learning as Maintaining Coherency: A Study of On-the-fly Machine Translation Using Large Language Models—0
Unified Model Learning for Various Neural Machine Translation—0
Investigating Lexical Sharing in Multilingual Machine Translation for Indian Languages—0
What changes when you randomly choose BPE merge operations? Not muchCode0
Learning Language-Specific Layers for Multilingual Machine Translation—0
Lift Yourself Up: Retrieval-augmented Text Generation with Self MemoryCode1
Backdoor Learning on Sequence to Sequence Models—0
End-to-end Training and Decoding for Pivot-based Cascaded Translation Model—0
Towards Being Parameter-Efficient: A Stratified Sparsely Activated Transformer with Dynamic CapacityCode0
Evaluating the Efficacy of Length-Controllable Machine Translation—0
Shared Latent Space by Both Languages in Non-Autoregressive Neural Machine Translation—0
SLTUNET: A Simple Unified Model for Sign Language TranslationCode1
Sentiment Perception Adversarial Attacks on Neural Machine Translation Systems—0
A Paradigm Shift: The Future of Machine Translation Lies with Large Language Models—0
Neural Machine Translation Models with Attention-Based Dropout LayerCode0
Low-Resourced Machine Translation for Senegalese Wolof Language—0
Synthetic Cross-language Information Retrieval Training Data—0
Prompt Engineering for Healthcare: Methodologies and Applications—0
ResiDual: Transformer with Dual Residual ConnectionsCode1
ICE-Score: Instructing Large Language Models to Evaluate CodeCode1
Tensor Decomposition for Model Reduction in Neural Networks: A Review—0
Escaping the sentence-level paradigm in machine translationCode0
State Spaces Aren't Enough: Machine Translation Needs Attention—0
PAXQA: Generating Cross-lingual Question Answering Examples at Training ScaleCode0
Directed Acyclic Transformer Pre-training for High-quality Non-autoregressive Text GenerationCode1
NAIST-SIC-Aligned: an Aligned English-Japanese Simultaneous Interpretation CorpusCode0
Lost in Translationese? Reducing Translation Effect Using Abstract Meaning RepresentationCode0
Decouple Non-parametric Knowledge Distillation For End-to-end Speech Translation—0
Exploring Paracrawl for Document-level Neural Machine TranslationCode0
Improving Speech Translation by Cross-Modal Multi-Grained Contrastive Learning—0
Low-resource Bilingual Dialect Lexicon Induction with Large Language ModelsCode0
MasakhaNEWS: News Topic Classification for African languagesCode1
An Empirical Study of Leveraging Knowledge Distillation for Compressing Multilingual Neural Machine Translation Models—0
The eBible Corpus: Data and Model Benchmarks for Bible Translation for Low-Resource LanguagesCode0
Tailoring Domain Adaptation for Machine Translation Quality EstimationCode0
Show:102550
← PrevPage 29 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