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 4751–4800 of 10752 papers

TitleStatusHype
Kunji : A Resource Management System for Higher Productivity in Computer Aided Translation Tools—0
Towards Handling Verb Phrase Ellipsis in English-Hindi Machine Translation—0
Language Modelling with NMT Query Translation for Amharic-Arabic Cross-Language Information Retrieval—0
Robust Text Classification using Sub-Word Information in Input Word Representations.—0
Mixtape: Breaking the Softmax Bottleneck Efficiently—0
Neural Machine Translation with Soft PrototypeCode0
Memory Efficient Adaptive Optimization—0
Compositional De-Attention Networks—0
Comparing Unsupervised Word Translation Methods Step by Step—0
Modeling Fluency and Faithfulness for Diverse Neural Machine TranslationCode1
Multimodal Machine Translation through Visuals and Speech—0
DiscoTK: Using Discourse Structure for Machine Translation Evaluation—0
DeFINE: DEep Factorized INput Token Embeddings for Neural Sequence ModelingCode1
Jejueo Datasets for Machine Translation and Speech SynthesisCode0
Simultaneous Neural Machine Translation using Connectionist Temporal Classification—0
Iterative Batch Back-Translation for Neural Machine Translation: A Conceptual Model—0
Word-Class Embeddings for Multiclass Text ClassificationCode0
Neural Machine Translation with Explicit Phrase Alignment—0
Korean-to-Chinese Machine Translation using Chinese Character as Pivot ClueCode0
Non-autoregressive Transformer by Position Learning—0
JParaCrawl: A Large Scale Web-Based English-Japanese Parallel Corpus—0
Learning to Reuse Translations: Guiding Neural Machine Translation with Examples—0
hauWE: Hausa Words Embedding for Natural Language Processing—0
Using the Web as an Implicit Training Set: Application to Noun Compound Syntax and Semantics—0
Optimizing Data Usage via Differentiable RewardsCode0
Effective Modeling of Encoder-Decoder Architecture for Joint Entity and Relation ExtractionCode1
Neuron Interaction Based Representation Composition for Neural Machine Translation—0
Go From the General to the Particular: Multi-Domain Translation with Domain Transformation NetworksCode1
Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine TranslationCode0
Generating Diverse Translation by Manipulating Multi-Head Attention—0
Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine TranslationCode0
Controlling Neural Machine Translation Formality with Synthetic SupervisionCode0
A Hybrid Morpheme-Word Representation for Machine Translation of Morphologically Rich Languages—0
DLBricks: Composable Benchmark Generation to Reduce Deep Learning Benchmarking Effort on CPUs (Extended)—0
Graph Transformer for Graph-to-Sequence LearningCode0
MUSE: Parallel Multi-Scale Attention for Sequence to Sequence LearningCode0
Contribution au Niveau de l'Approche Indirecte à Base de Transfert dans la Traduction Automatique—0
Understanding and Improving Layer NormalizationCode0
Improving Non-Intrusive Load Disaggregation through an Attention-Based Deep Neural NetworkCode0
Optimal Mini-Batch Size Selection for Fast Gradient Descent—0
BP-Transformer: Modelling Long-Range Context via Binary PartitioningCode0
Diversity by Phonetics and its Application in Neural Machine Translation—0
Data Efficient Direct Speech-to-Text Translation with Modality Agnostic Meta-Learning—0
Syntax-Infused Transformer and BERT models for Machine Translation and Natural Language Understanding—0
Listen and Fill in the Missing Letters: Non-Autoregressive Transformer for Speech Recognition—0
Modelling Bahdanau Attention using Election methods aided by Q-Learning—0
Adaptive Fusion Techniques for Multimodal Data—0
Distilling Knowledge Learned in BERT for Text GenerationCode0
Language Model-Driven Unsupervised Neural Machine Translation—0
Improving Transformer Models by Reordering their SublayersCode0
Show:102550
← PrevPage 96 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