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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 5951–6000 of 10752 papers

TitleStatusHype
Context and Copying in Neural Machine Translation—0
Findings of the WMT 2018 Biomedical Translation Shared Task: Evaluation on Medline test sets—0
KIT’s IWSLT 2018 SLT Translation System—0
Supervised and Unsupervised Minimalist Quality Estimators: Vicomtech's Participation in the WMT 2018 Quality Estimation Task—0
TencentFmRD Neural Machine Translation for WMT18—0
Prediction Improves Simultaneous Neural Machine Translation—0
The AFRL IWSLT 2018 Systems: What Worked, What Didn’t—0
Findings of the Third Shared Task on Multimodal Machine TranslationCode0
Corpus-Driven Thematic Hierarchy Induction—0
Smart vs. Solid Solutions in Computational Linguistics---Machine Translation or Information Retrieval—0
Hunter NMT System for WMT18 Biomedical Translation Task: Transfer Learning in Neural Machine Translation—0
Findings of the 2018 Conference on Machine Translation (WMT18)—0
IPS-WASEDA system at CoNLL--SIGMORPHON 2018 Shared Task on morphological inflection—0
Research Challenges in Building a Voice-based Artificial Personal Shopper - Position Paper—0
Multi-source transformer with combined losses for automatic post editing—0
Neural Machine Translation with the Transformer and Multi-Source Romance Languages for the Biomedical WMT 2018 task—0
Continuous Word Embedding Fusion via Spectral Decomposition—0
Alibaba Submission to the WMT18 Parallel Corpus Filtering Task—0
Coreference and Coherence in Neural Machine Translation: A Study Using Oracle Experiments—0
SYSTRAN Participation to the WMT2018 Shared Task on Parallel Corpus Filtering—0
Keep It or Not: Word Level Quality Estimation for Post-Editing—0
Controlling Length in Abstractive Summarization Using a Convolutional Neural NetworkCode0
Interpretable Emoji Prediction via Label-Wise Attention LSTMs—0
Improving Neural Abstractive Document Summarization with Structural Regularization—0
CaLcs: Continuously Approximating Longest Common Subsequence for Sequence Level Optimization—0
Prompsit’s Submission to the IWSLT 2018 Low Resource Machine Translation Task—0
Results of the WMT18 Metrics Shared Task: Both characters and embeddings achieve good performance—0
Adaptive Multi-pass Decoder for Neural Machine Translation—0
Generating Classical Chinese Poems via Conditional Variational Autoencoder and Adversarial Training—0
Phonological Features for Morphological Inflection—0
Stylistic Chinese Poetry Generation via Unsupervised Style Disentanglement—0
Neural Speech Translation at AppTek—0
Diversity-Promoting GAN: A Cross-Entropy Based Generative Adversarial Network for Diversified Text GenerationCode0
Experiments on Morphological Reinflection: CoNLL-2018 Shared Task—0
Input Combination Strategies for Multi-Source Transformer Decoder—0
Dual Fixed-Size Ordinally Forgetting Encoding (FOFE) for Competitive Neural Language Models—0
Coverage and Cynicism: The AFRL Submission to the WMT 2018 Parallel Corpus Filtering Task—0
Neural Machine Translation of Logographic Language Using Sub-character Level Information—0
The NiuTrans Machine Translation System for WMT18—0
Tilde's Machine Translation Systems for WMT 2018Code0
The Lazy Encoder: A Fine-Grained Analysis of the Role of Morphology in Neural Machine Translation—0
The RWTH Aachen University Filtering System for the WMT 2018 Parallel Corpus Filtering Task—0
Word Embeddings for Code-Mixed Language Processing—0
The RWTH Aachen University English-German and German-English Unsupervised Neural Machine Translation Systems for WMT 2018—0
The Sogou-TIIC Speech Translation System for IWSLT 2018—0
Word Rewarding for Adequate Neural Machine Translation—0
The Speechmatics Parallel Corpus Filtering System for WMT18—0
Training for Diversity in Image Paragraph CaptioningCode0
The TALP-UPC Machine Translation Systems for WMT18 News Shared Translation Task—0
Translation of Biomedical Documents with Focus on Spanish-English—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