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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 1901–1950 of 10752 papers

TitleStatusHype
Sinhala-English Parallel Word Dictionary DatasetCode0
Optimizing Machine Translation through Prompt Engineering: An Investigation into ChatGPT's Customizability—0
SelfSeg: A Self-supervised Sub-word Segmentation Method for Neural Machine Translation—0
Structural Transfer Learning in NL-to-Bash Semantic Parsers—0
MTUncertainty: Assessing the Need for Post-editing of Machine Translation Outputs by Fine-tuning OpenAI LLMs—0
Toward Quantum Machine Translation of Syntactically Distinct Languages—0
Dynamic Analysis and an Eigen Initializer for Recurrent Neural Networks—0
Multilingual Lexical Simplification via Paraphrase GenerationCode0
Data Augmentation for Neural Machine Translation using Generative Language Model—0
Towards Bridging the Digital Language Divide—0
Diversity and Language Technology: How Techno-Linguistic Bias Can Cause Epistemic Injustice—0
XDLM: Cross-lingual Diffusion Language Model for Machine Translation—0
Lost In Translation: Generating Adversarial Examples Robust to Round-Trip TranslationCode0
Joint Dropout: Improving Generalizability in Low-Resource Neural Machine Translation through Phrase Pair VariablesCode0
Incorporating Human Translator Style into English-Turkish Literary Machine Translation—0
Enhancing Supervised Learning with Contrastive Markings in Neural Machine Translation Training—0
Syntax-Aware Complex-Valued Neural Machine Translation—0
Improving End-to-End Speech Translation by Imitation-Based Knowledge Distillation with Synthetic TranscriptsCode0
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
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
Stay on topic with Classifier-Free Guidance—0
Learning Multilingual Expressive Speech Representation for Prosody Prediction without Parallel Data—0
Stop Pre-Training: Adapt Visual-Language Models to Unseen LanguagesCode0
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
Quality Estimation of Machine Translated Texts based on Direct Evidence from Training Data—0
Constructing Multilingual Code Search Dataset Using Neural Machine TranslationCode0
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
Testing of Detection Tools for AI-Generated Text—0
Evaluation of Chinese-English Machine Translation of Emotion-Loaded Microblog Texts: A Human Annotated Dataset for the Quality Assessment of Emotion TranslationCode0
EvolveMT: an Ensemble MT Engine Improving Itself with Usage Only—0
On Evaluating Multilingual Compositional Generalization with Translated DatasetsCode0
Efficient Machine Translation Corpus GenerationCode0
DiNADO: Norm-Disentangled Neurally-Decomposed Oracles for Controlling Language ModelsCode0
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
Participatory Research as a Path to Community-Informed, Gender-Fair Machine Translation—0
Understanding Parameter Sharing in Transformers—0
A Relaxed Optimization Approach for Adversarial Attacks against Neural Machine Translation Models—0
EM-Network: Oracle Guided Self-distillation for Sequence 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
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