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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 10601–10650 of 10752 papers

TitleStatusHype
Thesis proposal: Are We Losing Textual Diversity to Natural Language Processing?—0
The Sockeye 2 Neural Machine Translation Toolkit at AMTA 2020—0
The Sockeye Neural Machine Translation Toolkit at AMTA 2018—0
The Sogou-TIIC Speech Translation System for IWSLT 2018—0
The SoNLP-DP System in the CoNLL-2015 shared Task—0
The Source-Target Domain Mismatch Problem in Machine Translation—0
The Speechmatics Parallel Corpus Filtering System for WMT18—0
The Strategic Impact of META-NET on the Regional, National and International Level—0
The Structure and Generality of Spoken Route Instructions—0
The Study of Effect of Length in Morphological Segmentation of Agglutinative Languages—0
The SUMMA Platform Prototype—0
The TALP--UPC Spanish--English WMT Biomedical Task: Bilingual Embeddings and Char-based Neural Language Model Rescoring in a Phrase-based System—0
The TALP-UPC Approach to System Selection: Asiya Features and Pairwise Classification Using Random Forests—0
The TALP-UPC Machine Translation Systems for WMT18 News Shared Translation Task—0
The TALP-UPC Machine Translation Systems for WMT19 News Translation Task: Pivoting Techniques for Low Resource MT—0
The TALP-UPC Neural Machine Translation System for German/Finnish-English Using the Inverse Direction Model in Rescoring—0
The TALP-UPC Participation in WMT21 News Translation Task: an mBART-based NMT Approach—0
The TALP-UPC Phrase-Based Translation Systems for WMT13: System Combination with Morphology Generation, Domain Adaptation and Corpus Filtering—0
The TALP-UPC phrase-based translation systems for WMT12: Morphology simplification and domain adaptation—0
The TALP-UPC System for the WMT Similar Language Task: Statistical vs Neural Machine Translation—0
The taraX\"U corpus of human-annotated machine translations—0
The Other Side of the Coin: Unsupervised Disambiguation of Potentially Idiomatic Expressions by Contrasting Senses—0
The Tatoeba Translation Challenge – Realistic Data Sets for Low Resource and Multilingual MT—0
The Trials and Tribulations of Predicting Post-Editing Productivity—0
The Trouble with Machine Translation Coherence—0
The Trouble with SMT Consistency—0
The Two Shades of Dubbing in Neural Machine Translation—0
The UA-Prompsit hybrid machine translation system for the 2014 Workshop on Statistical Machine Translation—0
The UCF Systems for the LoResMT 2021 Machine Translation Shared Task—0
The UMD Machine Translation Systems at IWSLT 2016: English-to-French Translation of Speech Transcripts—0
The UMD Neural Machine Translation Systems at WMT17 Bandit Learning Task—0
The (Un)faithful Machine Translator—0
The Universitat d'Alacant Submissions to the English-to-Kazakh News Translation Task at WMT 2019—0
The University of Cambridge Russian-English System at WMT13—0
The University of Cambridge's Machine Translation Systems for WMT18—0
The University of Edinburgh's Submissions to the WMT18 News Translation Task—0
The University of Edinburgh’s English-Tamil and English-Inuktitut Submissions to the WMT20 News Translation Task—0
The University of Edinburgh's Neural MT Systems for WMT17—0
The University of Edinburgh's Submission to the WMT22 Code-Mixing Shared Task (MixMT)—0
The University of Edinburgh’s Submission to the IWSLT21 Simultaneous Translation Task—0
The University of Edinburgh-Uppsala University’s Submission to the WMT 2020 Chat Translation Task—0
The University of Helsinki submissions to the WMT18 news task—0
The University of Helsinki Submissions to the WMT19 Similar Language Translation Task—0
The University of Illinois submission to the WMT 2015 Shared Translation Task—0
The University of Maryland's Chinese-English Neural Machine Translation Systems at WMT18—0
The University of Maryland's Kazakh-English Neural Machine Translation System at WMT19—0
The University of Maryland’s Submissions to the WMT20 Chat Translation Task: Searching for More Data to Adapt Discourse-Aware Neural Machine Translation—0
The University of Sydney's Machine Translation System for WMT19—0
The unreasonable effectiveness of few-shot learning for machine translation—0
The Unreasonable Effectiveness of Random Target Embeddings for Continuous-Output Neural Machine Translation—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