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 9151–9200 of 10752 papers

TitleStatusHype
Comparing and combining tagging with different decoding algorithms for back-translation in NMT: learnings from a low resource scenario—0
Comparing BERT-based Reward Functions for Deep Reinforcement Learning in Machine Translation—0
Comparing Classifier use in Chinese and Japanese—0
Comparing CRF and template-matching in phrasing tasks within a Hybrid MT system—0
Comparing Different Criteria for Vietnamese Word Segmentation—0
Comparing Formulaic Language in Human and Machine Translation: Insight from a Parliamentary Corpus—0
Comparing human perceptions of post-editing effort with post-editing operations—0
Comparing Machine Translation and Human Translation: A Case Study—0
Comparing MT Approaches for Text Normalization—0
Comparing Multilingual Comparable Articles Based On Opinions—0
Comparing Multilingual NMT Models and Pivoting—0
Comparing Pipelined and Integrated Approaches to Dialectal Arabic Neural Machine Translation—0
Comparing Recurrent and Convolutional Architectures for English-Hindi Neural Machine Translation—0
Comparing Representations of Semantic Roles for String-To-Tree Decoding—0
Comparing Rule-based and SMT-based Spelling Normalisation for English Historical Texts—0
Comparing the Quality of Focused Crawlers and of the Translation Resources Obtained from them—0
Comparing Translator Acceptability of TM and SMT Outputs—0
Comparing two acquisition systems for automatically building an English---Croatian parallel corpus from multilingual websites—0
Comparing Unsupervised Word Translation Methods Step by Step—0
Comparison and Adaptation of Automatic Evaluation Metrics for Quality Assessment of Re-Speaking—0
Comparison between NMT and PBSMT Performance for Translating Noisy User-Generated Content—0
Comparison of Coreference Resolvers for Deep Syntax Translation—0
Comparison of Deep Learning and the Classical Machine Learning Algorithm for the Malware Detection—0
Comparison of Grapheme-to-Phoneme Conversion Methods on a Myanmar Pronunciation Dictionary—0
Comparison of scheduling methods for the learning rate of neural network language models (Mod\`eles de langue neuronaux: une comparaison de plusieurs strat\'egies d'apprentissage) [in French]—0
Comparison of SMT and NMT trained with large Patent Corpora: Japio at WAT2017—0
Comparison of SMT and RBMT; The Requirement of Hybridization for Marathi-Hindi MT—0
Comparison of the effects of attention mechanism on translation tasks of different lengths of ambiguous words—0
CompCodeVet: A Compiler-guided Validation and Enhancement Approach for Code Dataset—0
Competence-based Curriculum Learning for Multilingual Machine Translation—0
Competitiveness Analysis of the European Machine Translation Market—0
Compilation of a Swiss German Dialect Corpus and its Application to PoS Tagging—0
Compiling a Highly Accurate Bilingual Lexicon by Combining Different Approaches—0
Complete Multilingual Neural Machine Translation—0
Complexity of Symbolic Representation in Working Memory of Transformer Correlates with the Complexity of a Task—0
Complex Question Answering on knowledge graphs using machine translation and multi-task learning—0
Complex Word Identification Using Character n-grams—0
Component Sharing in English and Chinese Clause Complex—0
Composing extended top-down tree transducers—0
Compositional De-Attention Networks—0
Compositional Distributional Models of Meaning—0
Compositional Generalization by Factorizing Alignment and Translation—0
Compositional Generalization for Neural Semantic Parsing via Span-level Supervised Attention—0
Compositional Generalization via Neural-Symbolic Stack Machines—0
Compositional Neural Machine Translation by Removing the Lexicon from Syntax—0
Compositional Representation of Morphologically-Rich Input for Neural Machine Translation—0
Compounds and distributional thesauri—0
Compound Type Identification in Sanskrit: What Roles do the Corpus and Grammar Play?—0
Comprehension and Trust in Crises: Investigating the Impact of Machine Translation and Post-Editing—0
Comprehension of Subtitles from Re-Translating Simultaneous Speech 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