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 3251–3300 of 10752 papers

TitleStatusHype
Identify Bilingual Patterns and Phrases from a Bilingual Sentence Pair—0
Prose2Poem: The Blessing of Transformers in Translating Prose to Persian PoetryCode0
Sentiment-Aware Measure (SAM) for Evaluating Sentiment Transfer by Machine Translation Systems—0
Translating Robot Skills: Learning Unsupervised Skill Correspondences Across Robots—0
Improving Non-Autoregressive Translation Models Without Distillation—0
To Smooth or not to Smooth? On Compatibility between Label Smoothing and Knowledge Distillation—0
Lagrangian Method for Episodic Learning—0
BLEU, METEOR, BERTScore: Evaluation of Metrics Performance in Assessing Critical Translation Errors in Sentiment-oriented Text—0
EdinSaar@WMT21: North-Germanic Low-Resource Multilingual NMT—0
DM-CT: Consistency Training with Data and Model Perturbation—0
Disentangled Mask Attention in Transformer—0
On the Effectiveness of Quasi Character-Level Models for Machine Translation—0
DictFormer: Tiny Transformer with Shared Dictionary—0
Non-Autoregressive Models are Better Multilingual Translators—0
Crossformer: Transformer with Alternated Cross-Layer Guidance—0
Contrastive Clustering to Mine Pseudo Parallel Data for Unsupervised Translation—0
TransSlowDown: Efficiency Attacks on Neural Machine Translation Systems—0
Adaptive Label Smoothing with Self-Knowledge—0
Text Simplification for Comprehension-based Question-AnsweringCode0
Cross-lingual Intermediate Fine-tuning improves Dialogue State TrackingCode0
Towards Reinforcement Learning for Pivot-based Neural Machine Translation with Non-autoregressive Transformer—0
Abstraction, Reasoning and Deep Learning: A Study of the "Look and Say" Sequence—0
Analyzing the Use of Character-Level Translation with Sparse and Noisy Datasets—0
Integrated Training for Sequence-to-Sequence Models Using Non-Autoregressive Transformer—0
Translating from Morphologically Complex Languages: A Paraphrase-Based Approach—0
Curb Your Carbon Emissions: Benchmarking Carbon Emissions in Machine Translation—0
Self-Enhancing Multi-filter Sequence-to-Sequence Model—0
Improved statistical machine translation using monolingual paraphrases—0
Unsupervised Translation of German--Lower Sorbian: Exploring Training and Novel Transfer Methods on a Low-Resource LanguageCode0
Predicting Attention Sparsity in Transformers—0
Faithful Target Attribute Prediction in Neural Machine TranslationCode0
Exploiting Curriculum Learning in Unsupervised Neural Machine TranslationCode0
Non-Parametric Online Learning from Human Feedback for Neural Machine TranslationCode0
The NiuTrans Machine Translation Systems for WMT21—0
Hierarchical Multimodal Transformer to Summarize Videos—0
Pushing the Right Buttons: Adversarial Evaluation of Quality EstimationCode0
Scalable and Efficient MoE Training for Multitask Multilingual Models—0
Multilingual Document-Level Translation Enables Zero-Shot Transfer From Sentences to Documents—0
Learning Domain Specific Language Models for Automatic Speech Recognition through Machine Translation—0
TranslateLocally: Blazing-fast translation running on the local CPU—0
One Source, Two Targets: Challenges and Rewards of Dual DecodingCode0
MeetDot: Videoconferencing with Live Translation Captions—0
Adversarial Training with Contrastive Learning in NLP—0
Classification-based Quality Estimation: Small and Efficient Models for Real-world Applications—0
Focus on the Target's Vocabulary: Masked Label Smoothing for Machine Translation—0
Modeling Future for Neural Machine Translation by Fusing Target Information—0
Digging Errors in NMT: Evaluating and Understanding Model Errors from Hypothesis Distribution—0
Back-translation for Large-Scale Multilingual Machine TranslationCode0
A Variational Hierarchical Model for Neural Cross-Lingual Summarization—0
Modeling Multi-granularity Segmentation for Rare Words in Neural 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