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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 2201–2250 of 10752 papers

TitleStatusHype
Automatic Standardization of Arabic Dialects for Machine Translation—0
Building a Parallel Corpus and Training Translation Models Between Luganda and English—0
Boosting Neural Networks to Decompile Optimized Binaries—0
An Empirical Investigation into the Use of Image Captioning for Automated Software Documentation—0
Statistical Machine Translation for Indic Languages—0
Active Learning for Neural Machine TranslationCode0
Optimizing Deep Transformers for Chinese-Thai Low-Resource Translation—0
Neural Transition-based Parsing of Library Deprecations—0
Extrinsic Evaluation of Machine Translation Metrics—0
MULTI3NLU++: A Multilingual, Multi-Intent, Multi-Domain Dataset for Natural Language Understanding in Task-Oriented Dialogue—0
EIT: Enhanced Interactive TransformerCode0
BMX: Boosting Natural Language Generation Metrics with ExplainabilityCode0
Diffusion Glancing Transformer for Parallel Sequence to Sequence Learning—0
Beyond Triplet: Leveraging the Most Data for Multimodal Machine TranslationCode0
On the Role of Parallel Data in Cross-lingual Transfer Learning—0
Localising In-Domain Adaptation of Transformer-Based Biomedical Language ModelsCode0
Original or Translated? On the Use of Parallel Data for Translation Quality Estimation—0
PairReranker: Pairwise Reranking for Natural Language Generation—0
IndicMT Eval: A Dataset to Meta-Evaluate Machine Translation metrics for Indian LanguagesCode0
Memory-efficient NLLB-200: Language-specific Expert Pruning of a Massively Multilingual Machine Translation Model—0
Mu^2SLAM: Multitask, Multilingual Speech and Language Models—0
A Natural Bias for Language Generation Models—0
Rethinking Label Smoothing on Multi-hop Question AnsweringCode0
Optimal Transport for Unsupervised Hallucination Detection in Neural Machine TranslationCode0
Synthetic Pre-Training Tasks for Neural Machine Translation—0
Rainproof: An Umbrella To Shield Text Generators From Out-Of-Distribution Data—0
Continual Knowledge Distillation for Neural Machine TranslationCode0
A Simple Baseline for Beam Search Reranking—0
Beyond the C: Retargetable Decompilation using Neural Machine Translation—0
Better Datastore, Better Translation: Generating Datastores from Pre-Trained Models for Nearest Neural Machine Translation—0
AdaTranS: Adapting with Boundary-based Shrinking for End-to-End Speech Translation—0
Detecting and Mitigating Hallucinations in Machine Translation: Model Internal Workings Alone Do Well, Sentence Similarity Even Better—0
Fixing MoE Over-Fitting on Low-Resource Languages in Multilingual Machine Translation—0
Attention as a Guide for Simultaneous Speech TranslationCode0
Advancing Multilingual Pre-training: TRIP Triangular Document-level Pre-training for Multilingual Language Models—0
Multi-VALUE: A Framework for Cross-Dialectal English NLP—0
Causes and Cures for Interference in Multilingual Translation—0
Bridging Graph Position Encodings for Transformers with Weighted Graph-Walking Automata—0
Towards a general purpose machine translation system for Sranantongo—0
Real-World Compositional Generalization with Disentangled Sequence-to-Sequence Learning—0
Who Evaluates the Evaluators? On Automatic Metrics for Assessing AI-based Offensive Code Generators—0
P-Transformer: Towards Better Document-to-Document Neural Machine TranslationCode0
End-to-End Speech Translation of Arabic to English Broadcast News—0
Spatio-temporal Sign Language Representation and Translation—0
DC-MBR: Distributional Cooling for Minimum Bayesian Risk Decoding—0
M3ST: Mix at Three Levels for Speech Translation—0
Life-long Learning for Multilingual Neural Machine Translation with Knowledge Distillation—0
In-context Examples Selection for Machine TranslationCode0
Building Metadata Inference Using a Transducer Based Language Model—0
Impact of Domain-Adapted Multilingual Neural Machine Translation in the Medical DomainCode0
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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