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 5151–5200 of 10752 papers

TitleStatusHype
Reinforcement Learning for on-line Sequence Transformation—0
Reinforcement Learning with Large Action Spaces for Neural Machine Translation—0
Reinforcement Learning with Large Action Spaces for Neural Machine Translation—0
(Re)introducing Regular Graph Languages—0
Relations between comprehensibility and adequacy errors in machine translation output—0
Relative clause extraction for syntactic simplification—0
Relaxed Attention for Transformer Models—0
Relay Decoding: Concatenating Large Language Models for Machine Translation—0
Relevance-guided Neural Machine Translation—0
Relevance Transformer: Generating Concise Code Snippets with Relevance Feedback—0
Removing Biases from Trainable MT Metrics by Using Self-Training—0
Removing European Language Barriers with Innovative Machine Translation Technology—0
RenewNAT: Renewing Potential Translation for Non-Autoregressive Transformer—0
Reordering Grammar Induction—0
Reordering Model for Forest-to-String Machine Translation—0
Reordering rules for English-Hindi SMT—0
Re-ordering Source Sentences for SMT—0
Repairing Bengali Verb Chunks for Improved Bengali to Hindi Machine Translation—0
Repairing Incorrect Translation with Examples—0
Repairing Pronouns in Translation with BERT-Based Post-Editing—0
Repeat before Forgetting: Spaced Repetition for Efficient and Effective Training of Neural Networks—0
Rep\'erage des entit\'es nomm\'ees pour l'arabe : adaptation non-supervis\'ee et combinaison de syst\`emes (Named Entity Recognition for Arabic : Unsupervised adaptation and Systems combination) [in French]—0
Rephrasing the Reference for Non-Autoregressive Machine Translation—0
REPLAB: A Reproducible Low-Cost Arm Benchmark Platform for Robotic Learning—0
Report of NEWS 2012 Machine Transliteration Shared Task—0
Report of NEWS 2015 Machine Transliteration Shared Task—0
Report of NEWS 2016 Machine Transliteration Shared Task—0
Report of NEWS 2018 Named Entity Transliteration Shared Task—0
Report of the Shared Task on Learning Reordering from Word Alignments at RSMT 2012—0
Repository for Reusing Artifacts of Artificial Neural Networks—0
Representation and Bias in Multilingual NLP: Insights from Controlled Experiments on Conditional Language Modeling—0
Representation Based Translation Evaluation Metrics—0
Representation Purification for End-to-End Speech Translation—0
Representations of Meaning in Neural Networks for NLP: a Thesis Proposal—0
Representing Honorifics via Individual Constraints—0
Reproducible and Efficient Benchmarks for Hyperparameter Optimization of Neural Machine Translation Systems—0
Reranking Laws for Language Generation: A Communication-Theoretic Perspective—0
Reranking Machine Translation Hypotheses with Structured and Web-based Language Models—0
Reranking with Linguistic and Semantic Features for Arabic Optical Character Recognition—0
Research Challenges in Building a Voice-based Artificial Personal Shopper - Position Paper—0
Research on the Evaluation of Token Imbalance Degree of NMT Corpus—0
Reservoir Transformers—0
Residual Stacking of RNNs for Neural Machine Translation—0
Residual Tree Aggregation of Layers for Neural Machine Translation—0
Resolution for Pronouns in Tamil Using CRF—0
Resolution of Pronominal Anaphora for Telugu Dialogues—0
Resolving Out-of-Vocabulary Words with Bilingual Embeddings in Machine Translation—0
Resource Creation and Evaluation for Multilingual Sentiment Analysis in Social Media Texts—0
Resources in Conflict: A Bilingual Valency Lexicon vs. a Bilingual Treebank vs. a Linguistic Theory—0
Response-based Learning for Grounded Machine 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