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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 4901–4950 of 10752 papers

TitleStatusHype
Language Model-Driven Unsupervised Neural Machine Translation—0
Distilling Knowledge Learned in BERT for Text GenerationCode0
Improving Transformer Models by Reordering their SublayersCode0
Adaptive Fusion Techniques for Multimodal Data—0
Listen and Fill in the Missing Letters: Non-Autoregressive Transformer for Speech Recognition—0
Understanding Multi-Head Attention in Abstractive Summarization—0
Translationese as a Language in "Multilingual" NMT—0
Zero-Shot Paraphrase Generation with Multilingual Language Models—0
Optimizing Deep Learning Inference on Embedded Systems Through Adaptive Model Selection—0
Learning to Copy for Automatic Post-EditingCode0
Bootstrapping Disjoint Datasets for Multilingual Multimodal Representation Learning—0
A Reinforced Generation of Adversarial Examples for Neural Machine TranslationCode0
Domain Robustness in Neural Machine TranslationCode0
Neural Arabic Text Diacritization: State of the Art Results and a Novel Approach for Machine TranslationCode0
Europarl-ST: A Multilingual Corpus For Speech Translation Of Parliamentary Debates—0
Pretrained Language Models for Document-Level Neural Machine Translation—0
A General Framework for Adaptation of Neural Machine Translation to Simultaneous Translation—0
Using Interlinear Glosses as Pivot in Low-Resource Multilingual Machine Translation—0
SubCharacter Chinese-English Neural Machine Translation with Wubi encoding—0
Improving Grammatical Error Correction with Machine Translation PairsCode0
Boosting LSTM Performance Through Dynamic Precision Selection—0
Multi-Domain Neural Machine Translation with Word-Level Adaptive Layer-wise Domain MixingCode0
Probing Contextualized Sentence Representations with Visual Awareness—0
Can Neural Networks Learn Symbolic Rewriting?—0
Understanding Knowledge Distillation in Non-autoregressive Machine Translation—0
The LIG system for the English-Czech Text Translation Task of IWSLT 2019—0
Transition-Based Deep Input LinearizationCode0
Guiding Non-Autoregressive Neural Machine Translation Decoding with Reordering Information—0
Domain, Translationese and Noise in Synthetic Data for Neural Machine Translation—0
Biconditional Generative Adversarial Networks for Multiview Learning with Missing Views—0
Improving Bidirectional Decoding with Dynamic Target Semantics in Neural Machine Translation—0
Integrating Dictionary Feature into A Deep Learning Model for Disease Named Entity Recognition—0
Training Neural Machine Translation (NMT) Models using Tensor Train Decomposition on TensorFlow (T3F)—0
Analysing Coreference in Transformer Outputs—0
On Compositionality in Neural Machine Translation—0
Controlling Text Complexity in Neural Machine TranslationCode0
Machine Translation in Pronunciation Space—0
Machine Translation Evaluation using Bi-directional Entailment—0
Data augmentation using back-translation for context-aware neural machine translation—0
A Modular Architecture for Unsupervised Sarcasm Generation—0
Analysis of Positional Encodings for Neural Machine Translation—0
Benefits of Data Augmentation for NMT-based Text Normalization of User-Generated Content—0
Lexical Micro-adaptation for Neural Machine Translation—0
LTRC-MT Simple \& Effective Hindi-English Neural Machine Translation Systems at WAT 2019—0
Context-Aware Neural Machine Translation Decoding—0
A Margin-based Loss with Synthetic Negative Samples for Continuous-output Machine Translation—0
Context-aware Neural Machine Translation with Coreference Information—0
On the Linguistic Representational Power of Neural Machine Translation Models—0
On the Relation between Position Information and Sentence Length in Neural Machine Translation—0
Back-Translation as Strategy to Tackle the Lack of Corpus in Natural Language Generation from Semantic Representations—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