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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 10001–10050 of 10752 papers

TitleStatusHype
Two Case Studies on Translating Pronouns in a Deep Syntax Framework—0
Two Counterexamples to Tokenization and the Noiseless Channel—0
Two Database Resources for Processing Social Media English Text—0
Word Ordering with Phrase-Based Grammars—0
Two Heads are Better than One? Verification of Ensemble Effect in Neural Machine Translation—0
Two Improvements to Left-to-Right Decoding for Hierarchical Phrase-based Machine Translation—0
Two Knives Cut Better Than One: Chinese Word Segmentation with Dual Decomposition—0
Two Languages Are Better than One: Bilingual Enhancement for Chinese Named Entity Recognition—0
Word Re-Embedding via Manifold Dimensionality Retention—0
Two-Neighbor Orientation Model with Cross-Boundary Global Contexts—0
Word Representation Models for Morphologically Rich Languages in Neural Machine Translation—0
The LIG system for the English-Czech Text Translation Task of IWSLT 2019—0
Two Parents, One Child: Dual Transfer for Low-Resource Neural Machine Translation—0
Two-Phase Cross-Lingual Language Model Fine-Tuning for Machine Translation Quality Estimation—0
Two Phase Evaluation for Selecting Machine Translation Services—0
Two-stage Approach for Hindi Dependency Parsing Using MaltParser—0
Two-Stage Pre-ordering for Japanese-to-English Statistical Machine Translation—0
Two-Step Machine Translation with Lattices—0
Two-Step MT: Predicting Target Morphology—0
Word Representations in Factored Neural Machine Translation—0
Two Way Adversarial Unsupervised Word Translation—0
Two-Way Neural Machine Translation: A Proof of Concept for Bidirectional Translation Modeling using a Two-Dimensional Grid—0
Type-based MCMC for Sampling Tree Fragments from Forests—0
Types and Records for Predication—0
UAlacant machine translation quality estimation at WMT 2018: a simple approach using phrase tables and feed-forward neural networks—0
UAlacant: Using Online Machine Translation for Cross-Lingual Textual Entailment—0
UAlacant word-level and phrase-level machine translation quality estimation systems at WMT 2016—0
UAlacant word-level machine translation quality estimation system at WMT 2015—0
UC2: Universal Cross-lingual Cross-modal Vision-and-Language Pre-training—0
UCCAApp: Web-application for Syntactic and Semantic Phrase-based Annotation—0
UCCA: A Semantics-based Grammatical Annotation Scheme—0
UCSMNLP: Statistical Machine Translation for WAT 2019—0
UCSYNLP-Lab Machine Translation Systems for WAT 2019—0
UCSYNLP-Lab Machine Translation Systems for WAT 2018—0
The LIGM-Alpage architecture for the SPMRL 2013 Shared Task: Multiword Expression Analysis and Dependency Parsing—0
UDLex: Towards Cross-language Subcategorization Lexicons—0
UdS-DFKI@WMT20: Unsupervised MT and Very Low Resource Supervised MT for German-Upper Sorbian—0
UdS-Sant: English--German Hybrid Machine Translation System—0
UEdin: Translating L1 Phrases in L2 Context using Context-Sensitive SMT—0
UFAL Submissions to the IWSLT 2016 MT Track—0
UFRGS\&LIF at SemEval-2016 Task 10: Rule-Based MWE Identification and Predominant-Supersense Tagging—0
UFRGS Participation on the WMT Biomedical Translation Shared Task—0
UGENT-LT3 SCATE Submission for WMT16 Shared Task on Quality Estimation—0
UGENT-LT3 SCATE System for Machine Translation Quality Estimation—0
UHH Submission to the WMT17 Metrics Shared Task—0
UHH Submission to the WMT17 Quality Estimation Shared Task—0
UKP: Computing Semantic Textual Similarity by Combining Multiple Content Similarity Measures—0
Ukrainian-to-English folktale corpus: Parallel corpus creation and augmentation for machine translation in low-resource languages—0
Word Rewarding for Adequate Neural Machine Translation—0
UMBC\_EBIQUITY-CORE: Semantic Textual Similarity Systems—0
Show:102550
← PrevPage 201 of 216Next →
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