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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 7051–7100 of 10752 papers

TitleStatusHype
Translation Divergences in Chinese--English Machine Translation: An Empirical Investigation—0
Towards Quantum Language Models—0
Translation Memory Systems Have a Long Way to Go—0
Towards Producing Human-Validated Translation Resources for the Fula language through WordNet Linking—0
Treatment of Markup in Statistical Machine Translation—0
Tree as a Pivot: Syntactic Matching Methods in Pivot Translation—0
Towards Improving Abstractive Summarization via Entailment Generation—0
Towards Decoding as Continuous Optimisation in Neural Machine Translation—0
Towards Compact and Fast Neural Machine Translation Using a Combined Method—0
UDLex: Towards Cross-language Subcategorization Lexicons—0
UHH Submission to the WMT17 Metrics Shared Task—0
UHH Submission to the WMT17 Quality Estimation Shared Task—0
Unbabel's Participation in the WMT17 Translation Quality Estimation Shared Task—0
Towards a Universal Sentiment Classifier in Multiple languages—0
Unity in Diversity: A Unified Parsing Strategy for Major Indian Languages—0
University of Rochester WMT 2017 NMT System Submission—0
Unsupervised Pretraining for Sequence to Sequence Learning—0
Tilde's Machine Translation Systems for WMT 2017Code0
Using a Graph-based Coherence Model in Document-Level Machine Translation—0
Using Gaze to Predict Text Readability—0
Using hyperlinks to improve multilingual partial parsersCode0
Using Target-side Monolingual Data for Neural Machine Translation through Multi-task Learning—0
Validation of an Automatic Metric for the Accuracy of Pronoun Translation (APT)Code0
Variable Mini-Batch Sizing and Pre-Trained Embeddings—0
The TALP-UPC Neural Machine Translation System for German/Finnish-English Using the Inverse Direction Model in Rescoring—0
Zipporah: a Fast and Scalable Data Cleaning System for Noisy Web-Crawled Parallel Corpora—0
The RWTH Aachen University English-German and German-English Machine Translation System for WMT 2017—0
The QT21 Combined Machine Translation System for English to Latvian—0
The Microsoft Speech Language Translation (MSLT) Corpus for Chinese and Japanese: Conversational Test data for Machine Translation and Speech Recognition—0
Word Embeddings as Features for Supervised Coreference Resolution—0
Word Re-Embedding via Manifold Dimensionality Retention—0
Word Representations in Factored Neural Machine Translation—0
Word Transduction for Addressing the OOV Problem in Machine Translation for Similar Resource-Scarce Languages—0
The Karlsruhe Institute of Technology Systems for the News Translation Task in WMT 2017—0
The JHU Machine Translation Systems for WMT 2017—0
XMU Neural Machine Translation Systems for WMT 17—0
The JAIST Machine Translation Systems for WMT 17Code0
Transfer Learning across Low-Resource, Related Languages for Neural Machine Translation—0
Action Classification and Highlighting in Videos—0
Automatically Generating Commit Messages from Diffs using Neural Machine Translation—0
TANKER: Distributed Architecture for Named Entity Recognition and Disambiguation—0
Look-ahead Attention for Generation in Neural Machine Translation—0
Neural Machine Translation Training in a Multi-Domain Scenario—0
Machine Translation in Indian Languages: Challenges and Resolution—0
Subspace Approximation for Approximate Nearest Neighbor Search in NLP—0
Handling Homographs in Neural Machine Translation—0
Cold Fusion: Training Seq2Seq Models Together with Language Models—0
Neural Machine Translation with Extended Context—0
The Helsinki Neural Machine Translation SystemCode0
Arabic Multi-Dialect Segmentation: bi-LSTM-CRF vs. SVMCode0
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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
5AdminBLEU score43.8—Unverified
6Transformer (ADMIN init)BLEU 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