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 2401–2450 of 10752 papers

TitleStatusHype
Unregulated Chinese-to-English Data Expansion Does NOT Work for Neural Event Detection—0
ParaZh-22M: A Large-Scale Chinese Parabank via Machine Translation—0
The Curious Case of Logistic Regression for Italian Languages and Dialects IdentificationCode0
Towards Making the Most of Pre-trained Translation Model for Quality Estimation—0
Iterative Constrained Back-Translation for Unsupervised Domain Adaptation of Machine TranslationCode0
基于图文细粒度对齐语义引导的多模态神经机器翻译方法(Based on Semantic Guidance of Fine-grained Alignment of Image-Text for Multi-modal Neural Machine Translation)—0
Noise-robust Cross-modal Interactive Learning with Text2Image Mask for Multi-modal Neural Machine Translation—0
The Only Chance to Understand: Machine Translation of the Severely Endangered Low-resource Languages of Eurasia—0
Addressing Asymmetry in Multilingual Neural Machine Translation with Fuzzy Task Clustering—0
Is Encoder-Decoder Transformer the Shiny Hammer?—0
Interactive Post-Editing for Verbosity Controlled Translation—0
Penalizing Divergence: Multi-Parallel Translation for Low-Resource Languages of North America—0
Translating Spanish into Spanish Sign Language: Combining Rules and Data-driven Approaches—0
A Closer Look at Parameter Contributions When Training Neural Language and Translation Models—0
Constrained Regeneration for Cross-Lingual Query-Focused Extractive Summarization—0
Measuring Robustness for NLP—0
Speeding up Transformer Decoding via an Attention Refinement NetworkCode0
Towards Robust Neural Machine Translation with Iterative Scheduled Data-Switch TrainingCode0
Language Branch Gated Multilingual Neural Machine Translation—0
Comparing BERT-based Reward Functions for Deep Reinforcement Learning in Machine Translation—0
Blur the Linguistic Boundary: Interpreting Chinese Buddhist Sutra in English via Neural Machine Translation—0
Language-Family Adapters for Low-Resource Multilingual Neural Machine Translation—0
Synonym Detection Using Syntactic Dependency And Neural Embeddings—0
QUAK: A Synthetic Quality Estimation Dataset for Korean-English Neural Machine Translation—0
Bidirectional Language Models Are Also Few-shot Learners—0
Revamping Multilingual Agreement Bidirectionally via Switched Back-translation for Multilingual Neural Machine Translation—0
Cyclegan Network for Sheet Metal Welding Drawing Translation—0
Effective General-Domain Data Inclusion for the Machine Translation Task by Vanilla Transformers—0
An Automatic Evaluation of the WMT22 General Machine Translation Task—0
From Zero to Production: Baltic-Ukrainian Machine Translation Systems to Aid Refugees—0
Improving Multilingual Neural Machine Translation System for Indic Languages—0
Knowledge Representation for Conceptual, Motivational, and Affective Processes in Natural Language Communication—0
Meta-Learning a Cross-lingual Manifold for Semantic ParsingCode0
A Deep Investigation of RNN and Self-attention for the Cyrillic-Traditional Mongolian Bidirectional Conversion—0
Controllable Text Generation for Open-Domain Creativity and Fairness—0
Zero-shot Domain Adaptation for Neural Machine Translation with Retrieved Phrase-level Prompts—0
Approaching English-Polish Machine Translation Quality Assessment with Neural-based Methods—0
Semantically Consistent Data Augmentation for Neural Machine Translation via Conditional Masked Language ModelCode0
PePe: Personalized Post-editing Model utilizing User-generated Post-edits—0
LINGUIST: Language Model Instruction Tuning to Generate Annotated Utterances for Intent Classification and Slot Tagging—0
Relaxed Attention for Transformer Models—0
EffEval: A Comprehensive Evaluation of Efficiency for MT Evaluation MetricsCode0
Learning Decoupled Retrieval Representation for Nearest Neighbour Neural Machine Translation—0
A Snapshot into the Possibility of Video Game Machine Translation—0
An Empirical Study of Automatic Post-Editing—0
Transformer-based Detection of Multiword Expressions in Flower and Plant Names—0
Examining Large Pre-Trained Language Models for Machine Translation: What You Don't Know About It—0
Rethinking Round-Trip Translation for Machine Translation EvaluationCode0
Toward Improving Health Literacy in Patient Education Materials with Neural Machine Translation Models—0
Rethink about the Word-level Quality Estimation for Machine Translation from Human JudgementCode0
Show:102550
← PrevPage 49 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
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