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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 5101–5150 of 10752 papers

TitleStatusHype
Improving Back-Translation with Uncertainty-based Confidence EstimationCode0
NCLS: Neural Cross-Lingual SummarizationCode0
Evaluating Pronominal Anaphora in Machine Translation: An Evaluation Measure and a Test SuiteCode0
Generating Classical Chinese Poems from Vernacular ChineseCode0
Transformer Dissection: A Unified Understanding of Transformer's Attention via the Lens of KernelCode0
Encoders Help You Disambiguate Word Senses in Neural Machine Translation—0
Bilingual is At Least Monolingual (BALM): A Novel Translation Algorithm that Encodes Monolingual PriorsCode0
Latent Part-of-Speech Sequences for Neural Machine Translation—0
Handling Syntactic Divergence in Low-resource Machine TranslationCode0
Adaptively Sparse TransformersCode1
Probing Representations Learned by Multimodal Recurrent and Transformer Models—0
Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention—0
Regularized Context Gates on Transformer for Machine Translation—0
Learning a Multi-Domain Curriculum for Neural Machine Translation—0
DeepCopy: Grounded Response Generation with Hierarchical Pointer Networks—0
Unsupervised Domain Adaptation for Neural Machine Translation with Domain-Aware Feature EmbeddingsCode0
Multiresolution Transformer Networks: Recurrence is Not Essential for Modeling Hierarchical Structure—0
On NMT Search Errors and Model Errors: Cat Got Your Tongue?—0
Multi-Layer Softmaxing during Training Neural Machine Translation for Flexible Decoding with Fewer Layers—0
uniblock: Scoring and Filtering Corpus with Unicode Block InformationCode0
Transductive Data-Selection Algorithms for Fine-Tuning Neural Machine Translation—0
Revisiting Simple Domain Adaptation Methods in Unsupervised Neural Machine Translation—0
Efficient Bidirectional Neural Machine Translation—0
Multilingual Neural Machine Translation with Language Clustering—0
Reference Network for Neural Machine Translation—0
Deep Learning Based Chatbot ModelsCode0
Unsupervised Text Summarization via Mixed Model Back-Translation—0
Controllable Dual Skew Divergence Loss for Neural Machine Translation—0
Improving Neural Machine Translation with Pre-trained Representation—0
A Lost Croatian Cybernetic Machine Translation Program—0
Prosodic Phrase Alignment for Machine DubbingCode1
Latent-Variable Non-Autoregressive Neural Machine Translation with Deterministic Inference Using a Delta PosteriorCode0
Recurrent Graph Syntax Encoder for Neural Machine Translation—0
Leveraging Sentence Similarity in Natural Language Generation: Improving Beam Search using Range Voting—0
Language Graph Distillation for Low-Resource Machine Translation—0
Hard but Robust, Easy but Sensitive: How Encoder and Decoder Perform in Neural Machine Translation—0
Learning Representations and Agents for Information Retrieval—0
Improving CAT Tools in the Translation Workflow: New Approaches and Evaluation—0
Densely Connected Graph Convolutional Networks for Graph-to-Sequence LearningCode0
Incorporating Word and Subword Units in Unsupervised Machine Translation Using Language Model Rescoring—0
Unpaired Cross-lingual Image Caption Generation with Self-Supervised Rewards—0
Transformer-based Automatic Post-Editing with a Context-Aware Encoding Approach for Multi-Source Inputs—0
Towards Making the Most of BERT in Neural Machine TranslationCode0
Simple and Effective Noisy Channel Modeling for Neural Machine Translation—0
Adabot: Fault-Tolerant Java Decompiler—0
On The Evaluation of Machine Translation Systems Trained With Back-TranslationCode0
Neural Machine Translation with Noisy Lexical Constraints—0
On the Variance of the Adaptive Learning Rate and BeyondCode1
Mitigating Noisy Inputs for Question Answering—0
A Test Suite and Manual Evaluation of Document-Level NMT at WMT19Code0
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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