SOTAVerified

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 5801–5850 of 10752 papers

TitleStatusHype
Improving Neural Text Simplification Model with Simplified Corpora—0
Towards Two-Dimensional Sequence to Sequence Model in Neural Machine TranslationCode0
Image Captioning as Neural Machine Translation Task in SOCKEYE—0
Assessing Crosslingual Discourse Relations in Machine TranslationCode0
Integrating Weakly Supervised Word Sense Disambiguation into Neural Machine TranslationCode0
A Large-Scale Test Set for the Evaluation of Context-Aware Pronoun Translation in Neural Machine TranslationCode0
AutoLoss: Learning Discrete Schedules for Alternate OptimizationCode0
Learning to Segment Inputs for NMT Favors Character-Level Processing—0
Using Spoken Word Posterior Features in Neural Machine Translation—0
Adapting Multilingual NMT to Extremely Low Resource Languages FBK’s Participation in the Basque-English Low-Resource MT Task, IWSLT 2018—0
The AFRL IWSLT 2018 Systems: What Worked, What Didn’t—0
Machine Translation Human Evaluation: an investigation of evaluation based on Post-Editing and its relation with Direct Assessment—0
Neural Speech Translation at AppTek—0
Prompsit’s Submission to the IWSLT 2018 Low Resource Machine Translation Task—0
Multi-paraphrase Augmentation to Leverage Neural Caption Translation—0
KIT’s IWSLT 2018 SLT Translation System—0
Analyzing Knowledge Distillation in Neural Machine Translation—0
The IWSLT 2018 Evaluation Campaign—0
The Sogou-TIIC Speech Translation System for IWSLT 2018—0
Word Rewarding for Adequate Neural Machine Translation—0
A Machine Translation Approach for Modernizing Historical Documents Using Backtranslation—0
Smart vs. Solid Solutions in Computational Linguistics---Machine Translation or Information Retrieval—0
The RWTH Aachen University Filtering System for the WMT 2018 Parallel Corpus Filtering Task—0
Prompsit's submission to WMT 2018 Parallel Corpus Filtering shared taskCode1
RUSE: Regressor Using Sentence Embeddings for Automatic Machine Translation EvaluationCode0
Phonological Features for Morphological Inflection—0
Tilde's Parallel Corpus Filtering Methods for WMT 2018—0
Findings of the WMT 2018 Shared Task on Parallel Corpus Filtering—0
Findings of the WMT 2018 Shared Task on Quality Estimation—0
Findings of the WMT 2018 Shared Task on Automatic Post-Editing—0
Findings of the WMT 2018 Biomedical Translation Shared Task: Evaluation on Medline test sets—0
Findings of the Third Shared Task on Multimodal Machine TranslationCode0
The Speechmatics Parallel Corpus Filtering System for WMT18—0
Findings of the 2018 Conference on Machine Translation (WMT18)—0
Alibaba Submission to the WMT18 Parallel Corpus Filtering Task—0
Alibaba Submission for WMT18 Quality Estimation Task—0
Proceedings of the Third Conference on Machine Translation: Research Papers—0
Alibaba's Neural Machine Translation Systems for WMT18—0
PROMT Systems for WMT 2018 Shared Translation Task—0
Accurate semantic textual similarity for cleaning noisy parallel corpora using semantic machine translation evaluation metric: The NRC supervised submissions to the Parallel Corpus Filtering task—0
Tilde's Machine Translation Systems for WMT 2018Code0
Multi-encoder Transformer Network for Automatic Post-Editing—0
Extracting In-domain Training Corpora for Neural Machine Translation Using Data Selection Methods—0
Self-training improves Recurrent Neural Networks performance for Temporal Relation Extraction—0
Robust parfda Statistical Machine Translation Results—0
A Pronoun Test Suite Evaluation of the English--German MT Systems at WMT 2018—0
Meteor++: Incorporating Copy Knowledge into Machine Translation Evaluation—0
TencentFmRD Neural Machine Translation for WMT18—0
Sheffield Submissions for the WMT18 Quality Estimation Shared Task—0
A hybrid pipeline of rules and machine learning to filter web-crawled parallel corpora—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