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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 3051–3100 of 10752 papers

TitleStatusHype
Towards a Fine-Grained Multi-Domain Neural Machine Translation Using Inter-Domain Relationships—0
Dict-NMT: Bilingual Dictionary based NMT for Extremely Low Resource Languages—0
Integrating Vectorized Lexical Constraints for Neural Machine Translation—0
NVIDIA NeMo Neural Machine Translation Systems for English-German and English-Russian News and Biomedical Tasks at WMT21—0
An Empirical Study of Document-to-document Neural Machine Translation—0
What Works and Doesn't Work, A Deep Decoder for Neural Machine Translation—0
Rare Tokens Degenerate All Tokens: Improving Neural Text Generation via Adaptive Gradient Gating for Rare Token Embeddings—0
Automode: Choosing the Best Machine Translation Supplier Based on Source Text—0
Graph Neural Networks for Multiparallel Word Alignment—0
Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data—0
Data-Driven Adaptive Simultaneous Machine Translation—0
Neural Class Expression SynthesisCode0
Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation—0
Data-adaptive Transfer Learning for Low-resource Translation: A Case Study in Haitian—0
DAQE: Exploring the Direct Assessment on Word-Level Quality Estimation in Machine Translation—0
WeTS: A Benchmark for Translation Suggestion—0
A Natural Diet: Towards Improving Naturalness of Machine Translation Output—0
Overcoming a Theoretical Limitation of Self-Attention—0
On Vision Features in Multimodal Machine Translation—0
Multilingual Document-Level Translation Enables Zero-Shot Transfer From Sentences to Documents—0
Improving Paraphrase Generation models with machine translation generated pre-training—0
Cost-Effective Training in Low-Resource Neural Machine Translation—0
Multi-Stage Framework with Refinement based Point Set Registration for Unsupervised Bi-Lingual Word Alignment—0
On Systematic Style Differences between Unsupervised and Supervised MT and an Application for High-Resource Machine Translation—0
Contrastive Learning for Low Resource Machine Translation—0
Unified NMT models for the Indian subcontinent transcending script-barriers—0
Contrastive Conditional Masked Language Model for Non-autoregressive Neural Machine Translation—0
That Slepen Al the Nyght with Open Ye! Cross-era Sequence Segmentation with Switch-memory—0
IndicBART: A Pre-trained Model for Indic Natural Language Generation—0
Quality-Aware Decoding for Neural Machine Translation—0
Generating Authentic Adversarial Examples beyond Meaning-preserving with Doubly Round-trip Translation—0
INDICXNLI: A Dataset for Studying NLI in Indic Languages—0
Maximum Proxy-Likelihood Estimation for Non-autoregressive Machine Translation—0
OneAligner: Zero-shot Cross-lingual Transfer with One Rich-Resource Language Pair for Low-Resource Sentence Retrieval—0
As Little as Possible, as Much as Necessary: Detecting Over- and Undertranslations with Contrastive Conditioning—0
Measuring Uncertainty in Translation Quality Evaluation (TQE)—0
Sign Language Translation with Hierarchical Spatio-TemporalGraph Neural Network—0
DEEP: DEnoising Entity Pre-training for Neural Machine Translation—0
Can neural networks predict dynamics they have never seen?—0
Speeding Up EntmaxCode0
BitextEdit: Automatic Bitext Editing for Improved Low-Resource Machine Translation—0
Variance-Aware Machine Translation Test SetsCode0
Developing neural machine translation models for Hungarian-English—0
Analyzing Architectures for Neural Machine Translation Using Low Computational Resources—0
Oracle Teacher: Leveraging Target Information for Better Knowledge Distillation of CTC Models—0
A Syntax-Guided Grammatical Error Correction Model with Dependency Tree Correction—0
Reducing the impact of out of vocabulary words in the translation of natural language questions into SPARQL queries—0
Multilingual Machine Translation Systems from Microsoft for WMT21 Shared Task—0
Lingua Custodia's participation at the WMT 2021 Machine Translation using Terminologies shared task—0
UQuAD1.0: Development of an Urdu Question Answering Training Data for Machine Reading Comprehension—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