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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 3301–3350 of 10752 papers

TitleStatusHype
Attention Mechanism with Energy-Friendly Operations—0
Contrastive Word Embedding Learning for Neural Machine Translation—0
Modeling Multi-granularity Segmentation for Rare Words in Neural Machine Translation—0
Comprehension of Subtitles from Re-Translating Simultaneous Speech Translation—0
Translation Transformers Rediscover Inherent Data DomainsCode0
Does Summary Evaluation Survive Translation to Other Languages?—0
Scaling Laws for Neural Machine Translation—0
Improving Neural Machine Translation by Bidirectional Training—0
When Does Translation Require Context? A Data-driven, Multilingual Exploration—0
On the Complementarity of Data Selection and Fine Tuning for Domain Adaptation—0
ARCH: Efficient Adversarial Regularized Training with CachingCode0
Beyond Glass-Box Features: Uncertainty Quantification Enhanced Quality Estimation for Neural Machine Translation—0
Regressive Ensemble for Machine Translation Quality EvaluationCode0
RankNAS: Efficient Neural Architecture Search by Pairwise Ranking—0
Sequence Length is a Domain: Length-based Overfitting in Transformer Models—0
AligNART: Non-autoregressive Neural Machine Translation by Jointly Learning to Estimate Alignment and Translate—0
Netmarble AI Center's WMT21 Automatic Post-Editing Shared Task Submission—0
Efficient Inference for Multilingual Neural Machine Translation—0
Multi-Sentence Resampling: A Simple Approach to Alleviate Dataset Length Bias and Beam-Search DegradationCode0
Fine Grained Human Evaluation for English-to-Chinese Machine Translation: A Case Study on Scientific Text—0
Show Me How To Revise: Improving Lexically Constrained Sentence Generation with XLNetCode0
Improving Scheduled Sampling with Elastic Weight Consolidation for Neural Machine Translation—0
Attention Weights in Transformer NMT Fail Aligning Words Between Sequences but Largely Explain Model Predictions—0
Contrastive Learning for Context-aware Neural Machine TranslationUsing Coreference Information—0
Modeling Concentrated Cross-Attention for Neural Machine Translation with Gaussian Mixture Model—0
Universal Simultaneous Machine Translation with Mixture-of-Experts Wait-k PolicyCode0
BiSECT: Learning to Split and Rephrase Sentences with BitextsCode0
Dynamic Terminology Integration for COVID-19 and other Emerging Domains—0
AfroMT: Pretraining Strategies and Reproducible Benchmarks for Translation of 8 African LanguagesCode0
Neural Machine Translation Quality and Post-Editing PerformanceCode0
Rule-based Morphological Inflection Improves Neural Terminology TranslationCode0
HintedBT: Augmenting Back-Translation with Quality and Transliteration Hints—0
A Large-Scale Study of Machine Translation in the Turkic Languages—0
Generalised Unsupervised Domain Adaptation of Neural Machine Translation with Cross-Lingual Data SelectionCode0
Competence-based Curriculum Learning for Multilingual Machine Translation—0
What's Hidden in a One-layer Randomly Weighted Transformer?Code0
Rethinking Data Augmentation for Low-Resource Neural Machine Translation: A Multi-Task Learning ApproachCode0
Vision Matters When It Should: Sanity Checking Multimodal Machine Translation ModelsCode0
Ensemble Fine-tuned mBERT for Translation Quality Estimation—0
Mixup Decoding for Diverse Machine Translation—0
Revisiting Context Choices for Context-aware Machine Translation—0
Paraphrase Generation as Unsupervised Machine Translation—0
Don't Go Far Off: An Empirical Study on Neural Poetry TranslationCode0
Infusing Future Information into Monotonic Attention Through Language Models—0
Attention based Sequence to Sequence Learning for Machine Translation of Low Resourced Indic Languages -- A case of Sanskrit to Hindi—0
Rare Tokens Degenerate All Tokens: Improving Neural Text Generation via Adaptive Gradient Gating for Rare Token Embeddings—0
Uncertainty-Aware Balancing for Multilingual and Multi-Domain Neural Machine Translation Training—0
Knowledge Graph Question Answering via SPARQL Silhouette Generation—0
Language Modeling, Lexical Translation, Reordering: The Training Process of NMT through the Lens of Classical SMT—0
An Exploratory Study on Utilising the Web of Linked Data for Product Data Mining—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