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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 1201–1250 of 10752 papers

TitleStatusHype
Syntax-Aware Complex-Valued Neural Machine Translation—0
Enhancing Supervised Learning with Contrastive Markings in Neural Machine Translation Training—0
Fast Quantum Algorithm for Attention Computation—0
A Neural-Symbolic Approach Towards Identifying Grammatically Correct Sentences—0
Data Augmentation for Machine Translation via Dependency Subtree SwappingCode0
Pluggable Neural Machine Translation Models via Memory-augmented AdaptersCode0
Neural Machine Translation Data Generation and Augmentation using ChatGPT—0
mCLIP: Multilingual CLIP via Cross-lingual TransferCode1
BLEURT Has Universal Translations: An Analysis of Automatic Metrics by Minimum Risk TrainingCode0
To be or not to be: a translation reception study of a literary text translated into Dutch and Catalan using machine translation—0
X-RiSAWOZ: High-Quality End-to-End Multilingual Dialogue Datasets and Few-shot AgentsCode1
Stay on topic with Classifier-Free Guidance—0
Learning Multilingual Expressive Speech Representation for Prosody Prediction without Parallel Data—0
Tokenization and the Noiseless ChannelCode1
Stop Pre-Training: Adapt Visual-Language Models to Unseen LanguagesCode0
VisText: A Benchmark for Semantically Rich Chart CaptioningCode1
SAHAAYAK 2023 -- the Multi Domain Bilingual Parallel Corpus of Sanskrit to Hindi for Machine Translation—0
FLuRKA: Fast and accurate unified Low-Rank & Kernel Attention—0
Constructing Multilingual Code Search Dataset Using Neural Machine TranslationCode0
Quality Estimation of Machine Translated Texts based on Direct Evidence from Training Data—0
Data-Driven Approach for Formality-Sensitive Machine Translation: Language-Specific Handling and Synthetic Data Generation—0
On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes—0
Towards Explainable Evaluation Metrics for Machine Translation—0
Multilingual Neural Machine Translation System for Indic to Indic Languages—0
Training Transformers with 4-bit IntegersCode1
Testing of Detection Tools for AI-Generated Text—0
DiNADO: Norm-Disentangled Neurally-Decomposed Oracles for Controlling Language ModelsCode0
EvolveMT: an Ensemble MT Engine Improving Itself with Usage Only—0
Efficient Machine Translation Corpus GenerationCode0
Evaluation of Chinese-English Machine Translation of Emotion-Loaded Microblog Texts: A Human Annotated Dataset for the Quality Assessment of Emotion TranslationCode0
On Evaluating Multilingual Compositional Generalization with Translated DatasetsCode0
Explicit Syntactic Guidance for Neural Text GenerationCode1
GIO: Gradient Information Optimization for Training Dataset SelectionCode1
Gender Bias in Transformer Models: A comprehensive survey—0
Persian Semantic Role Labeling Using Transfer Learning and BERT-Based Models—0
Discourse Representation Structure Parsing for ChineseCode0
Sheffield's Submission to the AmericasNLP Shared Task on Machine Translation into Indigenous LanguagesCode0
Understanding Parameter Sharing in Transformers—0
Participatory Research as a Path to Community-Informed, Gender-Fair Machine Translation—0
EM-Network: Oracle Guided Self-distillation for Sequence Learning—0
A Relaxed Optimization Approach for Adversarial Attacks against Neural Machine Translation Models—0
Babel-ImageNet: Massively Multilingual Evaluation of Vision-and-Language RepresentationsCode1
Knowledge-Prompted Estimator: A Novel Approach to Explainable Machine Translation Assessment—0
Textual Augmentation Techniques Applied to Low Resource Machine Translation: Case of Swahili—0
Rethinking Translation Memory Augmented Neural Machine Translation—0
Learning Multilingual Sentence Representations with Cross-lingual Consistency RegularizationCode0
Measuring Sentiment Bias in Machine Translation—0
A Survey of Vision-Language Pre-training from the Lens of Multimodal Machine Translation—0
Neural Machine Translation for the Indigenous Languages of the Americas: An Introduction—0
Modality Influence in Multimodal Machine Learning—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