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

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Showing 3501–3550 of 10752 papers

TitleStatusHype
OkwuGbé: End-to-End Speech Recognition for Fon and IgboCode0
Bilingual Dictionary-based Language Model Pretraining for Neural Machine Translation—0
Visual Cues and Error Correction for Translation RobustnessCode0
Active^2 Learning: Actively reducing redundancies in Active Learning methods for Sequence Tagging and Machine Translation—0
Learning Feature Weights using Reward Modeling for Denoising Parallel Corpora—0
Learning Policies for Multilingual Training of Neural Machine Translation Systems—0
Unsupervised Transfer Learning in Multilingual Neural Machine Translation with Cross-Lingual Word Embeddings—0
Towards Continual Learning for Multilingual Machine Translation via Vocabulary Substitution—0
Self-Learning for Zero Shot Neural Machine Translation—0
Translating the Unseen? Yoruba-English MT in Low-Resource, Morphologically-Unmarked SettingsCode0
IOT: Instance-wise Layer Reordering for Transformer StructuresCode1
Hierarchical Transformer for Multilingual Machine Translation—0
An empirical analysis of phrase-based and neural machine translation—0
Meta-Curriculum Learning for Domain Adaptation in Neural Machine TranslationCode1
Random Feature Attention—0
Formal Basis of a Language Universal—0
Expanding the JHU Bible Corpus for Machine Translation of the Indigenous Languages of North America—0
The Usefulness of Bibles in Low-Resource Machine Translation—0
OmniNet: Omnidirectional Representations from TransformersCode0
Query Rewriting via Cycle-Consistent Translation for E-Commerce Search—0
CURE: Code-Aware Neural Machine Translation for Automatic Program RepairCode1
Gradient-guided Loss Masking for Neural Machine Translation—0
When Attention Meets Fast Recurrence: Training Language Models with Reduced ComputeCode2
Multichannel LSTM-CNN for Telugu Technical Domain Identification—0
Exploiting Multimodal Reinforcement Learning for Simultaneous Machine TranslationCode1
Exploring Supervised and Unsupervised Rewards in Machine TranslationCode1
Parallelizing Legendre Memory Unit TrainingCode1
Linear Transformers Are Secretly Fast Weight ProgrammersCode1
Evolving Attention with Residual ConvolutionsCode1
CDA: a Cost Efficient Content-based Multilingual Web Document Aligner—0
Machine Translation Customization via Automatic Training Data Selection from the Web—0
Understanding and Enhancing the Use of Context for Machine Translation—0
Multi-Domain Adaptation in Neural Machine Translation Through Multidimensional TaggingCode0
Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with 1/n ParametersCode1
Sparsely Factored Neural Machine TranslationCode0
Non-Autoregressive Text Generation with Pre-trained Language ModelsCode1
GradInit: Learning to Initialize Neural Networks for Stable and Efficient TrainingCode1
Meta Back-translation—0
MAPGN: MAsked Pointer-Generator Network for sequence-to-sequence pre-training—0
Crowdsourcing Parallel Corpus for English-Oromo Neural Machine Translation using Community Engagement Platform—0
The first large scale collection of diverse Hausa language datasetsCode1
InsNet: An Efficient, Flexible, and Performant Insertion-based Text Generation Model—0
On Automatic Parsing of Log RecordsCode0
Continuous Learning in Neural Machine Translation using Bilingual Dictionaries—0
Improving Zero-shot Neural Machine Translation on Language-specific Encoders-Decoders—0
Towards Personalised and Document-level Machine Translation of Dialogue—0
Learning Skill Equivalencies Across Platform TaxonomiesCode0
Fused Acoustic and Text Encoding for Multimodal Bilingual Pretraining and Speech Translation—0
Quality Estimation without Human-labeled Data—0
Did they direct the violence or admonish it? A cautionary tale on contronomy, androcentrism and back-translation foibles—0
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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