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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1151–1200 of 10752 papers

TitleStatusHype
Ngambay-French Neural Machine Translation (sba-Fr)Code0
Training and Meta-Evaluating Machine Translation Evaluation Metrics at the Paragraph Level—0
DISGO: Automatic End-to-End Evaluation for Scene Text OCR—0
On the Depth between Beam Search and Exhaustive Search for Text Generation—0
Improving Translation Faithfulness of Large Language Models via Augmenting InstructionsCode1
SeamlessM4T: Massively Multilingual & Multimodal Machine TranslationCode2
SONAR: Sentence-Level Multimodal and Language-Agnostic RepresentationsCode2
Large Language Models on Wikipedia-Style Survey Generation: an Evaluation in NLP ConceptsCode0
An Effective Method using Phrase Mechanism in Neural Machine TranslationCode0
Is context all you need? Scaling Neural Sign Language Translation to Large Domains of Discourse—0
Linguistically-Informed Neural Architectures for Lexical, Syntactic and Semantic Tasks in Sanskrit—0
Factuality Detection using Machine Translation -- a Use Case for German Clinical Text—0
Reinforced Self-Training (ReST) for Language Modeling—0
Fast Training of NMT Model with Data Sorting—0
VBD-MT Chinese-Vietnamese Translation Systems for VLSP 2022—0
SOTASTREAM: A Streaming Approach to Machine Translation TrainingCode1
Thresh: A Unified, Customizable and Deployable Platform for Fine-Grained Text EvaluationCode0
The Devil is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation EvaluationCode0
An Ensemble Approach to Question Classification: Integrating Electra Transformer, GloVe, and LSTM—0
With a Little Help from the Authors: Reproducing Human Evaluation of an MT Error DetectorCode0
Optimizing transformer-based machine translation model for single GPU training: a hyperparameter ablation study—0
A Case Study on Context Encoding in Multi-Encoder based Document-Level Neural Machine Translation—0
IIHT: Medical Report Generation with Image-to-Indicator Hierarchical Transformer—0
Exploring Linguistic Similarity and Zero-Shot Learning for Multilingual Translation of Dravidian Languages—0
Evaluating and Optimizing the Effectiveness of Neural Machine Translation in Supporting Code Retrieval Models: A Study on the CAT Benchmark—0
Unsupervised Out-of-Distribution Dialect Detection with Mahalanobis Distance—0
Character-level NMT and language similarity—0
ChatGPT for Arabic Grammatical Error Correction—0
Learning Evaluation Models from Large Language Models for Sequence GenerationCode0
Negative Lexical Constraints in Neural Machine Translation—0
TARJAMAT: Evaluation of Bard and ChatGPT on Machine Translation of Ten Arabic Varieties—0
Show Me the World in My Language: Establishing the First Baseline for Scene-Text to Scene-Text TranslationCode1
Sinhala-English Parallel Word Dictionary DatasetCode0
ESRL: Efficient Sampling-based Reinforcement Learning for Sequence GenerationCode1
Optimizing Machine Translation through Prompt Engineering: An Investigation into ChatGPT's Customizability—0
Do Multilingual Language Models Think Better in English?Code1
SelfSeg: A Self-supervised Sub-word Segmentation Method for Neural Machine Translation—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
Structural Transfer Learning in NL-to-Bash Semantic Parsers—0
Multilingual Lexical Simplification via Paraphrase GenerationCode0
Dynamic Analysis and an Eigen Initializer for Recurrent Neural Networks—0
Data Augmentation for Neural Machine Translation using Generative Language Model—0
XDLM: Cross-lingual Diffusion Language Model for Machine Translation—0
Diversity and Language Technology: How Techno-Linguistic Bias Can Cause Epistemic Injustice—0
Towards Bridging the Digital Language Divide—0
Joint Dropout: Improving Generalizability in Low-Resource Neural Machine Translation through Phrase Pair VariablesCode0
Lost In Translation: Generating Adversarial Examples Robust to Round-Trip TranslationCode0
Incorporating Human Translator Style into English-Turkish Literary Machine Translation—0
Improving End-to-End Speech Translation by Imitation-Based Knowledge Distillation with Synthetic TranscriptsCode0
Show:102550
← PrevPage 24 of 216Next →
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