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 4751–4800 of 10752 papers

TitleStatusHype
Assessing Human Translations from French to Bambara for Machine Learning: a Pilot Study—0
Evaluating Amharic Machine Translation—0
On the Integration of LinguisticFeatures into Statistical and Neural Machine Translation—0
Repository for Reusing Artifacts of Artificial Neural Networks—0
Learning Contextualized Sentence Representations for Document-Level Neural Machine Translation—0
Using LSTM to Translate French to Senegalese Local Languages: Wolof as a Case Study—0
Towards Supervised and Unsupervised Neural Machine Translation Baselines for Nigerian PidginCode0
Towards Neural Machine Translation for Edoid Languages—0
SAC: Accelerating and Structuring Self-Attention via Sparse Adaptive Connection—0
A Joint Approach to Compound Splitting and Idiomatic Compound Detection—0
Language Technology Programme for Icelandic 2019-2023Code0
Normalized and Geometry-Aware Self-Attention Network for Image Captioning—0
Utilizing Language Relatedness to improve Machine Translation: A Case Study on Languages of the Indian Subcontinent—0
Unsupervised Pidgin Text Generation By Pivoting English Data and Self-Training—0
TRANS-BLSTM: Transformer with Bidirectional LSTM for Language Understanding—0
A Machine Learning Application for Raising WASH Awareness in the Times of COVID-19 Pandemic—0
Revisit Systematic Generalization via Meaningful LearningCode0
ASR Error Correction and Domain Adaptation Using Machine Translation—0
Capturing document context inside sentence-level neural machine translation models with self-training—0
Tigrinya Neural Machine Translation with Transfer Learning for Humanitarian ResponseCode0
Investigating the Decoders of Maximum Likelihood Sequence Models: A Look-ahead Approach—0
Quality of Word Embeddings on Sentiment Analysis Tasks—0
Distill, Adapt, Distill: Training Small, In-Domain Models for Neural Machine Translation—0
An Empirical Accuracy Law for Sequential Machine Translation: the Case of Google Translate—0
Evaluating Low-Resource Machine Translation between Chinese and Vietnamese with Back-Translation—0
Meta-Embeddings Based On Self-Attention—0
Controllable Time-Delay Transformer for Real-Time Punctuation Prediction and Disfluency Detection—0
Transformer++—0
Soft-Root-Sign Activation Function—0
A Finite State Transducer Based Morphological Analyzer of Maithili Language—0
Word Sense Disambiguation: A comprehensive knowledge exploitation framework—0
Do all Roads Lead to Rome? Understanding the Role of Initialization in Iterative Back-Translation—0
Modeling Future Cost for Neural Machine Translation—0
Robust Unsupervised Neural Machine Translation with Adversarial Denoising Training—0
Echo State Neural Machine Translation—0
Marathi To English Neural Machine Translation With Near Perfect Corpus And TransformersCode0
MuST-Cinema: a Speech-to-Subtitles corpus—0
GRET: Global Representation Enhanced Transformer—0
Fixed Encoder Self-Attention Patterns in Transformer-Based Machine Translation—0
Machine Translation System Selection from Bandit Feedback—0
A^3: Accelerating Attention Mechanisms in Neural Networks with Approximation—0
Guider l'attention dans les modeles de sequence a sequence pour la prediction des actes de dialogue—0
Guiding attention in Sequence-to-sequence models for Dialogue Act predictionCode0
Scalable Second Order Optimization for Deep LearningCode0
Balancing Cost and Benefit with Tied-Multi Transformers—0
Uncertainty Estimation in Autoregressive Structured Prediction—0
On the Discrepancy between Density Estimation and Sequence Generation—0
Multi-layer Representation Fusion for Neural Machine TranslationCode0
Deep Learning for Source Code Modeling and Generation: Models, Applications and ChallengesCode0
Mask & Focus: Conversation Modelling by Learning Concepts—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
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