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 6051–6100 of 10752 papers

TitleStatusHype
The Effectiveness of Morphology-aware Segmentation in Low-Resource Neural Machine Translation—0
The Effect of Alignment Objectives on Code-Switching Translation—0
The Effect of Dependency Representation Scheme on Syntactic Language Modelling—0
The Effect of Domain and Diacritics in Yoruba–English Neural Machine Translation—0
The Effect of Error Rate in Artificially Generated Data for Automatic Preposition and Determiner Correction—0
The Effect of Learner Corpus Size in Grammatical Error Correction of ESL Writings—0
The Effect of Translationese on Tuning for Statistical Machine Translation—0
The En-Ru Two-way Integrated Machine Translation System Based on Transformer—0
The EuroPat Corpus: A Parallel Corpus of European Patent Data—0
The Excitement Open Platform for Textual Inferences—0
The FAUST Corpus of Adequacy Assessments for Real-World Machine Translation Output—0
The FBK Participation in the WMT15 Automatic Post-editing Shared Task—0
The FBK Participation in the WMT 2016 Automatic Post-editing Shared Task—0
The Feasibility of HMEANT as a Human MT Evaluation Metric—0
The First Parallel Corpora for Kurdish Sign Language—0
The FISKM\"O Project: Resources and Tools for Finnish-Swedish Machine Translation and Cross-Linguistic Research—0
The Fixed-Size Ordinally-Forgetting Encoding Method for Neural Network Language Models—0
0/1 Deep Neural Networks via Block Coordinate Descent—0
E-PUR: An Energy-Efficient Processing Unit for Recurrent Neural Networks—0
Equalizing Gender Bias in Neural Machine Translation with Word Embeddings Techniques—0
ERNIE-UniX2: A Unified Cross-lingual Cross-modal Framework for Understanding and Generation—0
Errator: a Tool to Help Detect Annotation Errors in the Universal Dependencies Project—0
Error Annotation in Post-Editing Machine Translation: Investigating the Impact of Text-to-Speech Technology—0
Error Identification for Machine Translation with Metric Embedding and Attention—0
Error Norm Truncation: Robust Training in the Presence of Data Noise for Text Generation Models—0
Error profiling for evaluation of machine-translated text: a Polish-English case study—0
ERUPD -- English to Roman Urdu Parallel Dataset—0
ESALE: Enhancing Code-Summary Alignment Learning for Source Code Summarization—0
"Es geht um Respekt, nicht um Technologie": Erkenntnisse aus einem Interessensgruppen-übergreifenden Workshop zu genderfairer Sprache und Sprachtechnologie—0
ESPnet-ST: All-in-One Speech Translation Toolkit—0
Establishing sentential structure via realignments from small parallel corpora—0
Estimating Grammar Correctness for a Priori Estimation of Machine Translation Post-Editing Effort—0
Estimating Marginal Probabilities of n-grams for Recurrent Neural Language Models—0
Estimating the Quality of Translated User-Generated Content—0
Estimating Word Alignment Quality for SMT Reordering Tasks—0
Estimation vs Metrics: is QE Useful for MT Model Selection?—0
Ethical Considerations for Low-resourced Machine Translation—0
Ethical Considerations for Machine Translation of Indigenous Languages: Giving a Voice to the Speakers—0
Ethical Considerations in NLP Shared Tasks—0
EthioMT: Parallel Corpus for Low-resource Ethiopian Languages—0
ETS: Discriminative Edit Models for Paraphrase Scoring—0
\'Etude de l'apprentissage par transfert de syst\`emes de traduction automatique neuronaux (Study on transfer learning in neural machine translation )—0
Etude de l'impact d'un lexique bilingue sp\'ecialis\'e sur la performance d'un moteur de traduction \`a base d'exemples (Studying the impact of a specialized bilingual lexicon on the performance of an example-based machine translation engine)—0
EU-BRIDGE MT: Combined Machine Translation—0
EuroLLM-9B: Technical Report—0
EuroLLM: Multilingual Language Models for Europe—0
Euronews: a multilingual speech corpus for ASR—0
Europarl: A Parallel Corpus for Statistical Machine Translation—0
Europarl-ST: A Multilingual Corpus For Speech Translation Of Parliamentary Debates—0
Europeana Translate: Providing multilingual access to digital cultural heritage—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