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 6951–7000 of 10752 papers

TitleStatusHype
Boundary-based MWE segmentation with text partitioning—0
Multi-source Neural Automatic Post-Editing: FBK's participation in the WMT 2017 APE shared task—0
Projection of Argumentative Corpora from Source to Target Languages—0
Multi-Domain Neural Machine Translation through Unsupervised Adaptation—0
bleu2vec: the Painfully Familiar Metric on Continuous Vector Space Steroids—0
Effective Domain Mixing for Neural Machine Translation—0
Blend: a Novel Combined MT Metric Based on Direct Assessment --- CASICT-DCU submission to WMT17 Metrics Task—0
Predictor-Estimator using Multilevel Task Learning with Stack Propagation for Neural Quality Estimation—0
Recognizing Textual Entailment in Twitter Using Word Embeddings—0
Bilexical Embeddings for Quality Estimation—0
MEANT 2.0: Accurate semantic MT evaluation for any output language—0
Predicting Translation Performance with Referential Translation Machines—0
Biasing Attention-Based Recurrent Neural Networks Using External Alignment Information—0
The Karlsruhe Institute of Technology Systems for the News Translation Task in WMT 2017—0
Word Representations in Factored Neural Machine Translation—0
Supersense Tagging with a Combination of Character, Subword, and Word-level Representations—0
Discovery of Discourse-Related Language Contrasts through Alignment Discrepancies in English-German Translation—0
The AFRL-MITLL WMT17 Systems: Old, New, Borrowed, BLEU—0
LMU Munich's Neural Machine Translation Systems for News Articles and Health Information Texts—0
Unbabel's Participation in the WMT17 Translation Quality Estimation Shared Task—0
Linguistic realisation as machine translation: Comparing different MT models for AMR-to-text generation—0
LIMSI@WMT'17—0
LIMSI Submission for WMT'17 Shared Task on Bandit Learning—0
Predicting Pronouns with a Convolutional Network and an N-gram Model—0
LIG-CRIStAL Submission for the WMT 2017 Automatic Post-Editing Task—0
Lexical Chains meet Word Embeddings in Document-level Statistical Machine Translation—0
University of Rochester WMT 2017 NMT System Submission—0
Tilde's Machine Translation Systems for WMT 2017Code0
The JAIST Machine Translation Systems for WMT 17Code0
Towards Improving Abstractive Summarization via Entailment Generation—0
Validation of an Automatic Metric for the Accuracy of Pronoun Translation (APT)Code0
Proceedings of the Third Workshop on Discourse in Machine Translation—0
Playing with Embeddings : Evaluating embeddings for Robot Language Learning through MUD Games—0
Automatic Threshold Detection for Data Selection in Machine Translation—0
Language Generation from DB Query—0
DCU System Report on the WMT 2017 Multi-modal Machine Translation Task—0
The JHU Machine Translation Systems for WMT 2017—0
Structured Generation of Technical Reading Lists—0
CUNI System for WMT17 Automatic Post-Editing Task—0
CUNI System for the WMT17 Multimodal Translation Task—0
CUNI submission in WMT17: Chimera goes neural—0
CUNI Experiments for WMT17 Metrics Task—0
XMU Neural Machine Translation Systems for WMT 17—0
Inflection Generation for Spanish Verbs using Supervised Learning—0
Cross-Lingual Pronoun Prediction with Deep Recurrent Neural Networks v2.0—0
Improving Word Sense Disambiguation in Neural Machine Translation with Sense Embeddings—0
A BiLSTM-based System for Cross-lingual Pronoun Prediction—0
Proceedings of the Second Conference on Machine Translation—0
Improving Machine Translation Quality Estimation with Neural Network Features—0
Tree as a Pivot: Syntactic Matching Methods in Pivot Translation—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