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 7751–7800 of 10752 papers

TitleStatusHype
Addressing speaker gender bias in large scale speech translation systems—0
A Concept Specification and Abstraction-based Semantic Representation: Addressing the Barriers to Rule-based Machine Translation—0
Addressing the Length Bias Problem in Document-Level Neural Machine Translation—0
Addressing the Representation Bottleneck in Neural Machine Translation with Lexical Shortcuts—0
Addressing Troublesome Words in Neural Machine Translation—0
Addressing word-order Divergence in Multilingual Neural Machine Translation for extremely Low Resource Languages—0
Addressing Zero-Resource Domains Using Document-Level Context in Neural Machine Translation—0
A Deeper Exploration of the Standard PB-SMT Approach to Text Simplification and its Evaluation—0
A Deep Fusion Model for Domain Adaptation in Phrase-based MT—0
A Deep Investigation of RNN and Self-attention for the Cyrillic-Traditional Mongolian Bidirectional Conversion—0
A deep language model to predict metabolic network equilibria—0
A Deep Learning Based Approach to Transliteration—0
A Deep Memory-based Architecture for Sequence-to-Sequence Learning—0
A deep Natural Language Inference predictor without language-specific training data—0
A Deep Neural Network Approach To Parallel Sentence Extraction—0
A Dependency-Based Neural Reordering Model for Statistical Machine Translation—0
A Dependency-Constrained Hierarchical Model with Moses—0
A Dependency Edge-based Transfer Model for Statistical Machine Translation—0
A Dependency-to-String Model for Chinese-Japanese SMT System—0
A Description of Tunable Machine Translation Evaluation Systems in WMT13 Metrics Task—0
A Detailed Evaluation of Neural Sequence-to-Sequence Models for In-domain and Cross-domain Text Simplification—0
A Diagnostic Evaluation Approach Targeting MT Systems for Indian Languages—0
A Dictionary-Based Approach for Evaluating Orthographic Methods in Cognates Identification—0
A Discourse-Annotated Corpus of Conjoined VPs—0
A Discriminative Graph-Based Parser for the Abstract Meaning Representation—0
A Discriminative Model for Semantics-to-String Translation—0
A Discriminative Neural Model for Cross-Lingual Word Alignment—0
A Discriminative Training Procedure for Continuous Translation Models—0
A Discussion on Building Practical NLP Leaderboards: The Case of Machine Translation—0
A Distant Supervision Approach to Semantic Role Labeling—0
A Distributed Resource Repository for Cloud-Based Machine Translation—0
A Distribution-based Model to Learn Bilingual Word Embeddings—0
AdMix: A Mixed Sample Data Augmentation Method for Neural Machine Translation—0
Adobe AMPS’s Submission for Very Low Resource Supervised Translation Task at WMT20—0
A Document-Level SMT System with Integrated Pronoun Prediction—0
A Domain Adaptation Regularization for Denoising Autoencoders—0
A Domain-Restricted, Rule Based, English-Hindi Machine Translation System Based on Dependency Parsing—0
Adopting the Word-Pair-Dependency-Triplets with Individual Comparison for Natural Language Inference—0
Adpositional Supersenses for Mandarin Chinese—0
A Dual-Decoder Conformer for Multilingual Speech Recognition—0
Advancements in Reordering Models for Statistical Machine Translation—0
Advances and Challenges in Unsupervised Neural Machine Translation—0
Advancing AI with Integrity: Ethical Challenges and Solutions in Neural Machine Translation—0
Advancing Explainability in Neural Machine Translation: Analytical Metrics for Attention and Alignment Consistency—0
Advancing Text-to-GLOSS Neural Translation Using a Novel Hyper-parameter Optimization Technique—0
Advancing Translation Preference Modeling with RLHF: A Step Towards Cost-Effective Solution—0
AdvAug: Robust Adversarial Augmentation for Neural Machine Translation—0
Adventures in Multilingual Parsing—0
Adversarial Evaluation of Multimodal Machine Translation—0
Adversarial Grammatical Error Correction—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
5AdminBLEU score43.8—Unverified
6Transformer (ADMIN init)BLEU 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