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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 5601–5650 of 10752 papers

TitleStatusHype
Synchronous Bidirectional Inference for Neural Sequence GenerationCode0
The ARIEL-CMU Systems for LoReHLT18—0
Augmenting Neural Machine Translation with Knowledge GraphsCode0
Non-Autoregressive Machine Translation with Auxiliary Regularization—0
Development of a classifiers/quantifiers dictionary towards French-Japanese MT—0
Latent Translation: Crossing Modalities by Bridging Generative Models—0
Mixture Models for Diverse Machine Translation: Tricks of the Trade—0
Semantic Neural Machine Translation using AMRCode0
Dynamic Layer Aggregation for Neural Machine Translation with Routing-by-Agreement—0
Language Models are Unsupervised Multitask LearnersCode1
Neural Machine Translation for Cebuano to Tagalog with Subword Unit Translation—0
Multilingual Neural Machine Translation With Soft Decoupled EncodingCode0
Insertion Transformer: Flexible Sequence Generation via Insertion Operations—0
Extending a model for ontology-based Arabic-English machine translation—0
Training on Synthetic Noise Improves Robustness to Natural Noise in Machine Translation—0
The FLoRes Evaluation Datasets for Low-Resource Machine Translation: Nepali-English and Sinhala-EnglishCode1
An Effective Approach to Unsupervised Machine TranslationCode0
Insertion-based Decoding with automatically Inferred Generation Order—0
Unsupervised Clinical Language TranslationCode0
An end-to-end Generative Retrieval Method for Sponsored Search Engine --Decoding Efficiently into a Closed Target Domain—0
Learning Efficient Lexically-Constrained Neural Machine Translation with External Memory—0
Adding Interpretable Attention to Neural Translation Models Improves Word AlignmentCode0
The Evolved TransformerCode0
Reference-less Quality Estimation of Text Simplification SystemsCode0
Doubly Sparse: Sparse Mixture of Sparse Experts for Efficient Softmax Inference—0
Memory-Efficient Adaptive OptimizationCode0
Tensorized Embedding Layers for Efficient Model CompressionCode0
Pay Less Attention with Lightweight and Dynamic ConvolutionsCode1
Glyce: Glyph-vectors for Chinese Character RepresentationsCode0
Integrating and Evaluating Extra-linguistic Context in Neural Machine Translation—0
Fixup Initialization: Residual Learning Without NormalizationCode0
On Learning Meaningful Code Changes via Neural Machine Translation—0
Context in Neural Machine Translation: A Review of Models and Evaluations—0
Addressing the Representation Bottleneck in Neural Machine Translation with Lexical Shortcuts—0
Automatic Parallel Corpus Creation for Hindi-English News Translation Task—0
Cross-lingual Language Model PretrainingCode0
Modeling Latent Sentence Structure in Neural Machine Translation—0
Improving Sequence-to-Sequence Learning via Optimal Transport—0
Predicting the Mumble of Wireless Channel with Sequence-to-Sequence Models—0
Unsupervised Neural Machine Translation with SMT as Posterior RegularizationCode0
ParaBank: Monolingual Bitext Generation and Sentential Paraphrasing via Lexically-constrained Neural Machine Translation—0
Equalizing Gender Biases in Neural Machine Translation with Word Embeddings TechniquesCode0
Choosing the Right Word: Using Bidirectional LSTM Tagger for Writing Support SystemsCode0
Neural and rule-based Finnish NLP models---expectations, experiments and experiences—0
Machine Translation: A Literature Review—0
Learning to Refine Source Representations for Neural Machine Translation—0
Privacy-Preserving Collaborative Deep Learning with Unreliable Participants—0
Moment Matching Training for Neural Machine Translation: A Preliminary Study—0
Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input—0
A Survey on Deep Learning for Named Entity RecognitionCode0
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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
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