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 1501–1550 of 10752 papers

TitleStatusHype
Beyond Parallel Data: Joint Word Alignment and Decipherment Improves Machine Translation—0
Beyond Prefix-Based Interactive Translation Prediction—0
Beyond Quality, Considerations for an MT solution—0
Beyond Sentence-Level End-to-End Speech Translation: Context Helps—0
An Experiment on Speech-to-Text Translation Systems for Manipuri to English on Low Resource Setting—0
Beyond Static Datasets: A Deep Interaction Approach to LLM Evaluation—0
An Explainable Adversarial Robustness Metric for Deep Learning Neural Networks—0
Beyond the C: Retargetable Decompilation using Neural Machine Translation—0
A Framework for Discriminative Rule Selection in Hierarchical Moses—0
Beyond Vanilla Fine-Tuning: Leveraging Multistage, Multilingual, and Domain-Specific Methods for Low-Resource Machine Translation—0
An Exploration of Data Augmentation Techniques for Improving English to Tigrinya Translation—0
Beyond Word-based Language Model in Statistical Machine Translation—0
Beyond Words: Deep Learning for Multiword Expressions and Collocations—0
BFGAN: Backward and Forward Generative Adversarial Networks for Lexically Constrained Sentence Generation—0
BhashaVerse : Translation Ecosystem for Indian Subcontinent Languages—0
Bianet: A Parallel News Corpus in Turkish, Kurdish and English—0
Biasing Attention-Based Recurrent Neural Networks Using External Alignment Information—0
An Exploration of Placeholding in Neural Machine Translation—0
Biber Redux: Reconsidering Dimensions of Variation in American English—0
An Ensemble Approach to Question Classification: Integrating Electra Transformer, GloVe, and LSTM—0
A Continuous Space Rule Selection Model for Syntax-based Statistical Machine Translation—0
Bi-Decoder Augmented Network for Neural Machine Translation—0
Bangla Natural Language Processing: A Comprehensive Analysis of Classical, Machine Learning, and Deep Learning Based Methods—0
Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand—0
Bidirectional American Sign Language to English Translation—0
A Continuous Improvement Framework of Machine Translation for Shipibo-Konibo—0
Bidirectional Awareness Induction in Autoregressive Seq2Seq Models—0
Bi-Directional Differentiable Input Reconstruction for Low-Resource Neural Machine Translation—0
Bidirectional Generative Adversarial Networks for Neural Machine Translation—0
Bidirectional Language Models Are Also Few-shot Learners—0
A Call for More Rigor in Unsupervised Cross-lingual Learning—0
Bi-Directional Neural Machine Translation with Synthetic Parallel Data—0
Bridging the Linguistic Divide: A Survey on Leveraging Large Language Models for Machine Translation—0
An English-Swahili parallel corpus and its use for neural machine translation in the news domain—0
Bangla AI: A Framework for Machine Translation Utilizing Large Language Models for Ethnic Media—0
Bridging the Domain Gap for Stance Detection for the Zulu language—0
Bandit Structured Prediction for Learning from Partial Feedback in Statistical Machine Translation—0
Bilex Rx: Lexical Data Augmentation for Massively Multilingual Machine Translation—0
Bilingual Autoencoders with Global Descriptors for Modeling Parallel Sentences—0
An English-Portuguese parallel corpus of questions: translation guidelines and application in SMT—0
Bilingual Correspondence Recursive Autoencoder for Statistical Machine Translation—0
Bilingual Data Cleaning for SMT using Graph-based Random Walk—0
An inclusive review on deep learning techniques and their scope in handwriting recognition—0
Bilingual Dictionary-based Language Model Pretraining for Neural Machine Translation—0
Bandits Don’t Follow Rules: Balancing Multi-Facet Machine Translation with Multi-Armed Bandits—0
Bilingual Dictionary Construction with Transliteration Filtering—0
Bilingual Embeddings and Word Alignments for Translation Quality Estimation—0
Bilingual Embeddings with Random Walks over Multilingual Wordnets—0
Bilingual English-Czech Valency Lexicon Linked to a Parallel Corpus—0
Bandits Don't Follow Rules: Balancing Multi-Facet Machine Translation with Multi-Armed Bandits—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