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

Showing 43014350 of 10752 papers

TitleStatusHype
Diffusion Glancing Transformer for Parallel Sequence to Sequence Learning0
Differentiable Window for Dynamic Local Attention0
Bayesian Optimisation for Machine Translation0
A Neural Approach to Language Variety Translation0
Differentiable Scheduled Sampling for Credit Assignment0
Bayesian Model-Agnostic Meta-Learning with Matrix-Valued Kernels for Quality Estimation0
Differentiable Sampling with Flexible Reference Word Order for Neural Machine Translation0
Plug-in, Trainable Gate for Streamlining Arbitrary Neural Networks0
Bayesian Layers: A Module for Neural Network Uncertainty0
A Neural Approach to KGQA via SPARQL Silhouette Generation0
A Dynamic Confusion Score for Dependency Arc Labels0
A contrastive review of paraphrase acquisition techniques0
Differentiable Expected BLEU for Text Generation0
Differentiable Dynamic Programming for Structured Prediction and Attention0
Bayesian Language Modelling of German Compounds0
Different Flavors of GUM: Evaluating Genre and Sentence Type Effects on Multilayer Corpus Annotation Quality0
Did Translation Models Get More Robust Without Anyone Even Noticing?0
Bayesian Kernel Methods for Natural Language Processing0
Did they direct the violence or admonish it? A cautionary tale on contronomy, androcentrism and back-translation foibles0
DiDi’s Machine Translation System for WMT20200
DiDi's Machine Translation System for WMT20200
Dict-NMT: Bilingual Dictionary based NMT for Extremely Low Resource Languages0
Bayesian Attention Belief Networks0
An Etymological Approach to Cross-Language Orthographic Similarity. Application on Romanian0
Dict-NMT: Bilingual Dictionary based NMT for Extremely Low Resource Languages0
Dictionary-based Phrase-level Prompting of Large Language Models for Machine Translation0
BayesFormer: Transformer with Uncertainty Estimation0
Dictionary-based Domain Adaptation of MT Systems without Retraining0
Dictionary-based Data Augmentation for Cross-Domain Neural Machine Translation0
Batch Tuning Strategies for Statistical Machine Translation0
A Nested Attention Neural Hybrid Model for Grammatical Error Correction0
DictFormer: Tiny Transformer with Shared Dictionary0
DICTDIS: Dictionary Constrained Disambiguation for Improved NMT0
DiBiMT: A Novel Benchmark for Measuring Word Sense Disambiguation Biases in Machine Translation0
Basque and Spanish Counter Narrative Generation: Data Creation and Evaluation0
An Error-based Investigation of Statistical and Neural Machine Translation Performance on Hindi-to-Tamil and English-to-Tamil0
Adversarial Training with Contrastive Learning in NLP0
A Continuum of Generation Tasks for Investigating Length Bias and Degenerate Repetition0
A Call for Prudent Choice of Subword Merge Operations in Neural Machine Translation0
DialUp! Modeling the Language Continuum by Adapting Models to Dialects and Dialects to Models0
Dialogue Act Segmentation for Vietnamese Human-Human Conversational Texts0
Basic Principles for Segmenting Thai EDUs0
Dialogue Act Classification in Domain-Independent Conversations Using a Deep Recurrent Neural Network0
Dialog Generation Using Multi-Turn Reasoning Neural Networks0
An entity-driven recursive neural network model for chinese discourse coherence modeling0
Dialog-based Language Learning0
Dialog-based Language Learning0
Baseline Models for Pronoun Prediction and Pronoun-Aware Translation0
Dialectal Arabic to English Machine Translation: Pivoting through Modern Standard Arabic0
Dialectal and Low-Resource Machine Translation for Aromanian0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Transformer Cycle (Rev)BLEU score35.14Unverified
2Noisy back-translationBLEU score35Unverified
3Transformer+Rep(Uni)BLEU score33.89Unverified
4T5-11BBLEU score32.1Unverified
5BiBERTBLEU score31.26Unverified
6Transformer + R-DropBLEU score30.91Unverified
7Bi-SimCutBLEU score30.78Unverified
8BERT-fused NMTBLEU score30.75Unverified
9Data Diversification - TransformerBLEU score30.7Unverified
10SimCutBLEU score30.56Unverified
#ModelMetricClaimedVerifiedStatus
1Transformer+BT (ADMIN init)BLEU score46.4Unverified
2Noisy back-translationBLEU score45.6Unverified
3mRASP+Fine-TuneBLEU score44.3Unverified
4Transformer + R-DropBLEU score43.95Unverified
5Transformer (ADMIN init)BLEU score43.8Unverified
6AdminBLEU score43.8Unverified
7BERT-fused NMTBLEU score43.78Unverified
8MUSE(Paralllel Multi-scale Attention)BLEU score43.5Unverified
9T5BLEU score43.4Unverified
10Local Joint Self-attentionBLEU score43.3Unverified
#ModelMetricClaimedVerifiedStatus
1PiNMTBLEU score40.43Unverified
2BiBERTBLEU score38.61Unverified
3Bi-SimCutBLEU score38.37Unverified
4Cutoff + Relaxed Attention + LMBLEU score37.96Unverified
5DRDABLEU score37.95Unverified
6Transformer + R-Drop + CutoffBLEU score37.9Unverified
7SimCutBLEU score37.81Unverified
8Cutoff+KneeBLEU score37.78Unverified
9CutoffBLEU score37.6Unverified
10CipherDAugBLEU score37.53Unverified
#ModelMetricClaimedVerifiedStatus
1HWTSC-Teacher-SimScore19.97Unverified
2MS-COMET-22Score19.89Unverified
3MS-COMET-QE-22Score19.76Unverified
4KG-BERTScoreScore17.28Unverified
5metricx_xl_DA_2019Score17.17Unverified
6COMET-QEScore16.8Unverified
7COMET-22Score16.31Unverified
8UniTE-srcScore15.68Unverified
9UniTE-refScore15.38Unverified
10metricx_xxl_DA_2019Score15.24Unverified