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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 6001–6050 of 10752 papers

TitleStatusHype
The ADAPT System Description for the STAPLE 2020 English-to-Portuguese Translation Task—0
The ADAPT System Description for the WMT20 News Translation Task—0
The AFRL IWSLT 2018 Systems: What Worked, What Didn’t—0
The AFRL IWSLT 2020 Systems: Work-From-Home Edition—0
The AFRL-MITLL WMT15 System: There's More than One Way to Decode It!—0
The AFRL-MITLL WMT16 News-Translation Task Systems—0
The AFRL-MITLL WMT17 Systems: Old, New, Borrowed, BLEU—0
The AFRL-Ohio State WMT18 Multimodal System: Combining Visual with Traditional—0
The AFRL-OSU WMT17 Multimodal Translation System: An Image Processing Approach—0
The AFRL WMT17 Neural Machine Translation Training Task Submission—0
The AFRL WMT18 Systems: Ensembling, Continuation and Combination—0
The AFRL WMT19 Systems: Old Favorites and New Tricks—0
The AFRL WMT20 News Translation Systems—0
THEaiTRE: Artificial Intelligence to Write a Theatre Play—0
The AMARA Corpus: Building Parallel Language Resources for the Educational Domain—0
The AMU System in the CoNLL-2014 Shared Task: Grammatical Error Correction by Data-Intensive and Feature-Rich Statistical Machine Translation—0
The AMU-UEdin Submission to the WMT 2017 Shared Task on Automatic Post-Editing—0
The aNALoGuE Challenge: Non Aligned Language GEneration—0
The Anatomy of a Modular System for Media Content Analysis—0
The annotation of the Central Unit in Rhetorical Structure Trees: A Key Step in Annotating Rhetorical Relations—0
The Arabic Parallel Gender Corpus 2.0: Extensions and Analyses—0
The ARIEL-CMU Systems for LoReHLT18—0
The Austrian Language Resource Portal for the Use and Provision of Language Resources in a Language Variety by Public Administration -- a Showcase for Collaboration between Public Administration and a University—0
The Benefit of Pseudo-Reference Translations in Quality Estimation of MT Output—0
The Best Templates Match Technique For Example Based Machine Translation—0
The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives—0
The boundaries of meaning: a case study in neural machine translation—0
The Call for Socially Aware Language Technologies—0
The Case for Evaluating Multimodal Translation Models on Text Datasets—0
The Challenges of Optimizing Machine Translation for Low Resource Cross-Language Information Retrieval—0
The Challenges of Using Neural Machine Translation for Literature—0
The changing profile of the translator profession at the European Central Bank—0
The CLE Urdu POS Tagset—0
The CMU-Avenue French-English Translation System—0
The CMU Machine Translation Systems at WMT 2014—0
The CMU Machine Translation Systems at WMT 2013: Syntax, Synthetic Translation Options, and Pseudo-References—0
The CNGL-DCU-Prompsit Translation Systems for WMT13—0
The Comparison of Translationese in Machine Translation and Human Transation in terms of Translation Relations—0
The Competitiveness Analysis of the European Language Technology Market—0
The Compreno Semantic Model as Integral Framework for Multilingual Lexical Database—0
The Cross-Lingual Arabic Information REtrieval (CLAIRE) System—0
The C-Score -- Proposing a Reading Comprehension Metrics as a Common Evaluation Measure for Text Simplification—0
The CUED's Grammatical Error Correction Systems for BEA-2019—0
The DCU-ICTCAS MT system at WMT 2014 on German-English Translation Task—0
The Denoised Web Treebank: Evaluating Dependency Parsing under Noisy Input Conditions—0
The Development of the Multilingual LUNA Corpus for Spoken Language System Porting—0
The Devil is in the Details: On the Pitfalls of Vocabulary Selection in Neural Machine Translation—0
The Edinburgh/JHU Phrase-based Machine Translation Systems for WMT 2015—0
The Edinburgh/LMU Hierarchical Machine Translation System for WMT 2016—0
The Edit Distance Transducer in Action: The University of Cambridge English-German System at WMT16—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