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 4251–4300 of 10752 papers

TitleStatusHype
Assessing Human-Parity in Machine Translation on the Segment Level—0
Improving Word Sense Disambiguation with Translations—0
Machine Translation Reference-less Evaluation using YiSi-2 with Bilingual Mappings of Massive Multilingual Language Model—0
Tencent AI Lab Machine Translation Systems for WMT20 Chat Translation Task—0
Tilde at WMT 2020: News Task Systems—0
The Volctrans Machine Translation System for WMT20—0
Fast Interleaved Bidirectional Sequence Generation—0
Exploiting Neural Query Translation into Cross Lingual Information Retrieval—0
Data Troubles in Sentence Level Confidence Estimation for Machine Translation—0
Curious Case of Language Generation Evaluation Metrics: A Cautionary Tale—0
Is it Great or Terrible? Preserving Sentiment in Neural Machine Translation of Arabic Reviews—0
Constraint Translation Candidates: A Bridge between Neural Query Translation and Cross-lingual Information Retrieval—0
The LMU Munich System for the WMT 2020 Unsupervised Machine Translation Shared TaskCode0
On Learning Text Style Transfer with Direct RewardsCode0
RMHIDD: A Reddit Mental Health Intervention Dialogue Dataset—0
Pre-trained Summarization DistillationCode0
Context-aware Decoder for Neural Machine Translation using a Target-side Document-Level Language Model—0
Rapid Domain Adaptation for Machine Translation with Monolingual Data—0
Concealed Data Poisoning Attacks on NLP Models—0
Not all parameters are born equal: Attention is mostly what you needCode0
N-ODE Transformer: A Depth-Adaptive Variant of the Transformer Using Neural Ordinary Differential EquationsCode0
CUNI Systems for the Unsupervised and Very Low Resource Translation Task in WMT20—0
Cascaded Models With Cyclic Feedback For Direct Speech Translation—0
Token Drop mechanism for Neural Machine TranslationCode0
Sentence Boundary Augmentation For Neural Machine Translation Robustness—0
A General Multi-Task Learning Framework to Leverage Text Data for Speech to Text Tasks—0
TMT: A Transformer-based Modal Translator for Improving Multimodal Sequence Representations in Audio Visual Scene-aware Dialog—0
Towards End-to-End In-Image Neural Machine Translation—0
Pushing the Limits of AMR Parsing with Self-Learning—0
Word Shape Matters: Robust Machine Translation with Visual Embedding—0
Complete Multilingual Neural Machine Translation—0
Unsupervised Pretraining for Neural Machine Translation Using Elastic Weight Consolidation—0
Diving Deep into Context-Aware Neural Machine Translation—0
Revisiting Modularized Multilingual NMT to Meet Industrial Demands—0
Unsupervised Neural Machine Translation for Low-Resource Domains via Meta-Learning—0
A Corpus for English-Japanese Multimodal Neural Machine Translation with Comparable Sentences—0
Incorporate Semantic Structures into Machine Translation Evaluation via UCCA—0
Unified Embedding for Universal Multilingual Neural Machine Translation—0
Training Flexible Depth Model by Multi-Task Learning for Neural Machine Translation—0
DiDi's Machine Translation System for WMT2020—0
Generating Diverse Translation from Model Distribution with Dropout—0
Pronoun-Targeted Fine-tuning for NMT with Hybrid LossesCode0
Semantic Label Smoothing for Sequence to Sequence Problems—0
Multi-Task Learning for Cross-Lingual Abstractive Summarization—0
Unsupervised Bitext Mining and Translation via Self-trained Contextual Embeddings—0
Positioning yourself in the maze of Neural Text Generation: A Task-Agnostic Survey—0
Fine-grained linguistic evaluation for state-of-the-art Machine Translation—0
Mitigating Gender Bias in Machine Translation with Target Gender AnnotationsCode0
Multilingual Argument Mining: Datasets and Analysis—0
Ensemble Distillation for Structured Prediction: Calibrated, Accurate, Fast-Choose Three—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