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 5551–5600 of 10752 papers

TitleStatusHype
Should we find another model?: Improving Neural Machine Translation Performance with ONE-Piece Tokenization Method without Model Modification—0
SIGMORPHON 2020 Task 0 System Description: ETH Z\"urich Team—0
Significance of Chain of Thought in Gender Bias Mitigation for English-Dravidian Machine Translation—0
Sign Language Machine Translation and the Sign Language Lexicon: A Linguistically Informed Approach—0
Sign Language Translation: Ongoing Development, Challenges and Innovations in the SignON Project—0
Sign Language Translation with Hierarchical Spatio-TemporalGraph Neural Network—0
SignSplat: Rendering Sign Language via Gaussian Splatting—0
SimCompass: Using Deep Learning Word Embeddings to Assess Cross-level Similarity—0
SimiHawk at SemEval-2016 Task 1: A Deep Ensemble System for Semantic Textual Similarity—0
Similarity-Based Reconstruction Loss for Meaning Representation—0
Similar Language Translation for Catalan, Portuguese and Spanish Using Marian NMT—0
Similar Southeast Asian Languages: Corpus-Based Case Study on Thai-Laotian and Malay-Indonesian—0
Simple and Effective Approach for Consistent Training of Hierarchical Phrase-based Translation Models—0
Simple and Effective Gradient-Based Tuning of Sequence-to-Sequence Models—0
Simple and Effective Noisy Channel Modeling for Neural Machine Translation—0
Simple and Effective Parameter Tuning for Domain Adaptation of Statistical Machine Translation—0
Simple and Effective Retrieve-Edit-Rerank Text Generation—0
Simple and Effective Text Simplification Using Semantic and Neural Methods—0
Simple and Effective Unsupervised Speech Translation—0
Simple Automatic Post-editing for Arabic-Japanese Machine Translation—0
Simple Compound Splitting for German—0
Simple extensions and POS Tags for a reparameterised IBM Model 2—0
Simple, Fast Noise-Contrastive Estimation for Large RNN Vocabularies—0
SimpleNets: Quality Estimation with Resource-Light Neural Networks—0
Simple, Scalable Adaptation for Neural Machine Translation—0
Simplifying the Bible and Wikipedia Using Statistical Machine Translation—0
Simplify-then-Translate: Automatic Preprocessing for Black-Box Machine Translation—0
Simply Trainable Nearest Neighbour Machine Translation with GPU Inference—0
Simulating Language Evolution: a Tool for Historical Linguistics—0
Simul-LLM: A Framework for Exploring High-Quality Simultaneous Translation with Large Language Models—0
SimulSpeech: End-to-End Simultaneous Speech to Text Translation—0
Simultaneous Machine Translation with Tailored Reference—0
Simultaneous Machine Translation with Large Language Models—0
Simultaneous Multi-Pivot Neural Machine Translation—0
Simultaneous Neural Machine Translation using Connectionist Temporal Classification—0
Simultaneous Neural Machine Translation with Constituent Label Prediction—0
Simultaneous Neural Machine Translation with Prefix Alignment—0
Simultaneous Sentence Boundary Detection and Alignment with Pivot-based Machine Translation Generated Lexicons—0
Simultaneous Speech-to-Speech Translation System with Neural Incremental ASR, MT, and TTS—0
Simultaneous Translation—0
Simultaneous Translation using Optimized Segmentation—0
Simultaneous Word-Morpheme Alignment for Statistical Machine Translation—0
Single Model Ensemble for Subword Regularized Models in Low-Resource Machine Translation—0
Sinhala-Tamil Machine Translation: Towards better Translation Quality—0
Sisyphus, a Workflow Manager Designed for Machine Translation and Automatic Speech Recognition—0
SIT at MixMT 2022: Fluent Translation Built on Giant Pre-trained Models—0
Six Challenges for Neural Machine Translation—0
SJTU-NICT's Supervised and Unsupervised Neural Machine Translation Systems for the WMT20 News Translation Task—0
SJTU-NICT’s Supervised and Unsupervised Neural Machine Translation Systems for the WMT20 News Translation Task—0
Skeletal Graph Self-Attention: Embedding a Skeleton Inductive Bias into Sign Language Production—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