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 4101–4150 of 10752 papers

TitleStatusHype
引入源端信息的机器译文自动评价方法研究(Research on Incorporating the Source Information to Automatic Evaluation of Machine Translation)—0
A Mixed Learning Objective for Neural Machine Translation—0
Constructing Uyghur Name Entity Recognition System using Neural Machine Translation Tag Projection—0
Computational Linguistics Metrics for the Evaluation of Two-Part Counterpoint Generated with Neural Machine Translation—0
Flexible Customization of a Single Neural Machine Translation System with Multi-dimensional Metadata Inputs—0
The OpenNMT Neural Machine Translation Toolkit: 2020 Edition—0
Investigation of Transformer-based Latent Attention Models for Neural Machine Translation—0
Customized Neural Machine Translation Systems for the Swiss Legal Domain—0
THUMT: An Open-Source Toolkit for Neural Machine Translation—0
Neural Machine Translation from Historical Japanese to Contemporary Japanese Using Diachronically Domain-Adapted Word Embeddings—0
Iterative Multilingual Neural Machine Translation for Less-Common and Zero-Resource Language Pairs—0
Nearest Neighbor Machine TranslationCode1
WeChat Neural Machine Translation Systems for WMT20—0
On Romanization for Model Transfer Between Scripts in Neural Machine Translation—0
Can Automatic Post-Editing Improve NMT?Code1
Learning Hard Retrieval Decoder Attention for Transformers—0
A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and GenerationCode1
Attention-Driven Body Pose Encoding for Human Activity Recognition—0
Rewriter-Evaluator Framework for Neural Machine Translation—0
Generative latent neural models for automatic word alignment—0
Deep Transformers with Latent DepthCode0
Neural Baselines for Word Alignment—0
Aspects of Terminological and Named Entity Knowledge within Rule-Based Machine Translation Models for Under-Resourced Neural Machine Translation Scenarios—0
Automatic Arabic Dialect Identification Systems for Written Texts: A Survey—0
XTE: Explainable Text Entailment—0
Multi-Pass Transformer for Machine Translation—0
KoBE: Knowledge-Based Machine Translation EvaluationCode0
Harnessing Multilinguality in Unsupervised Machine Translation for Rare Languages—0
Representation Learning from Limited Educational Data with Crowdsourced LabelsCode1
Public Health Informatics: Proposing Causal Sequence of Death Using Neural Machine Translation—0
Generative Imagination Elevates Machine Translation—0
Consecutive Decoding for Speech-to-text TranslationCode1
Alleviating the Inequality of Attention Heads for Neural Machine Translation—0
Target Conditioning for One-to-Many Generation—0
Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based ModelsCode0
Not Low-Resource Anymore: Aligner Ensembling, Batch Filtering, and New Datasets for Bengali-English Machine TranslationCode1
Softmax Tempering for Training Neural Machine Translation Models—0
Towards Computational Linguistics in Minangkabau Language: Studies on Sentiment Analysis and Machine TranslationCode1
Long-Short Term Masking Transformer: A Simple but Effective Baseline for Document-level Neural Machine Translation—0
Weight Distillation: Transferring the Knowledge in Neural Network Parameters—0
Computer Assisted Translation with Neural Quality Estimation and Automatic Post-Editing—0
COMET: A Neural Framework for MT Evaluation—0
Unsupervised Parallel Corpus Mining on Web Data—0
Dissecting Lottery Ticket Transformers: Structural and Behavioral Study of Sparse Neural Machine Translation—0
Code-switching pre-training for neural machine translation—0
Extremely Low Bit Transformer Quantization for On-Device Neural Machine Translation—0
Document-level Neural Machine Translation with Document Embeddings—0
Graph-to-Sequence Neural Machine Translation—0
Knowledge Graphs for Multilingual Language Translation and Generation—0
Reusing a Pretrained Language Model on Languages with Limited Corpora for Unsupervised NMTCode1
Show:102550
← PrevPage 83 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