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

Showing 83518400 of 10752 papers

TitleStatusHype
The USFD Spoken Language Translation System for IWSLT 20140
A Parallel Corpus of Translationese0
Probabilistic Bag-Of-Hyperlinks Model for Entity LinkingCode0
Exploiting Out-of-Domain Data Sources for Dialectal Arabic Statistical Machine Translation0
A Document-Level SMT System with Integrated Pronoun Prediction0
Foreebank: Syntactic Analysis of Customer Support Forums0
Multi-Perspective Sentence Similarity Modeling with Convolutional Neural Networks0
SHEF-NN: Translation Quality Estimation with Neural Networks0
Predicting Pronoun Translation Using Syntactic, Morphological and Contextual Features from Parallel Data0
A Statistical Model for Measuring Structural Similarity between Webpages0
Predicting Pronouns across Languages with Continuous Word Spaces0
CASICT-DCU Participation in WMT2015 Metrics Task0
Distributed Representations for Unsupervised Semantic Role Labeling0
A Comparison between Count and Neural Network Models Based on Joint Translation and Reordering Sequences0
Personalized Machine Translation: Predicting Translational Preferences0
Efficient Inner-to-outer Greedy Algorithm for Higher-order Labeled Dependency Parsing0
LORIA System for the WMT15 Quality Estimation Shared Task0
Extended Translation Models in Phrase-based Decoding0
The Edinburgh/JHU Phrase-based Machine Translation Systems for WMT 20150
Predicting Machine Translation Adequacy with Document Embeddings0
Experiments in Discriminating Similar Languages0
GF Wide-coverage English-Finnish MT system for WMT 20150
One Tree is not Enough: Cross-lingual Accumulative Structure Transfer for Semantic Indeterminacy0
Evaluating the Impact of Using a Domain-specific Bilingual Lexicon on the Performance of a Hybrid Machine Translation Approach0
Computational Integration of Human Vision and Natural Language through Bitext Alignment0
Sheffield Systems for the Finnish-English WMT Translation Task0
Multi-Timescale Long Short-Term Memory Neural Network for Modelling Sentences and Documents0
System Combination for Machine Translation through Paraphrasing0
Spelling Correction of User Search Queries through Statistical Machine Translation0
An Unsupervised Method for Discovering Lexical Variations in Roman Urdu Informal Text0
A Maximum Entropy Classifier for Cross-Lingual Pronoun Prediction0
A Two-level Classifier for Discriminating Similar Languages0
Bilingual Correspondence Recursive Autoencoder for Statistical Machine Translation0
Improving fast\_align by Reordering0
Results of the WMT15 Tuning Shared Task0
E-law Module Supporting Lawyers in the Process of Knowledge Discovery from Legal Documents0
Broad-coverage CCG Semantic Parsing with AMR0
CATaLog: New Approaches to TM and Post Editing Interfaces0
From European Portuguese to Portuguese Sign Language0
A Binarized Neural Network Joint Model for Machine Translation0
Improving evaluation and optimization of MT systems against MEANT0
Discontinuous Statistical Machine Translation with Target-Side Dependency Syntax0
Bridging the gap between sign language machine translation and sign language animation using sequence classification0
Results of the WMT15 Metrics Shared Task0
Comparison of Coreference Resolvers for Deep Syntax Translation0
Hierarchical Back-off Modeling of Hiero Grammar based on Non-parametric Bayesian Model0
Increasing Coverage of Translation Memories with Linguistically Motivated Segment Combination Methods0
Pre-Computable Multi-Layer Neural Network Language Models0
On A Strictly Convex IBM Model 10
Named Entity Recognition of Persons' Names in Arabic Tweets0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Transformer Cycle (Rev)BLEU score35.14Unverified
2Noisy back-translationBLEU score35Unverified
3Transformer+Rep(Uni)BLEU score33.89Unverified
4T5-11BBLEU score32.1Unverified
5BiBERTBLEU score31.26Unverified
6Transformer + R-DropBLEU score30.91Unverified
7Bi-SimCutBLEU score30.78Unverified
8BERT-fused NMTBLEU score30.75Unverified
9Data Diversification - TransformerBLEU score30.7Unverified
10SimCutBLEU score30.56Unverified
#ModelMetricClaimedVerifiedStatus
1Transformer+BT (ADMIN init)BLEU score46.4Unverified
2Noisy back-translationBLEU score45.6Unverified
3mRASP+Fine-TuneBLEU score44.3Unverified
4Transformer + R-DropBLEU score43.95Unverified
5Transformer (ADMIN init)BLEU score43.8Unverified
6AdminBLEU score43.8Unverified
7BERT-fused NMTBLEU score43.78Unverified
8MUSE(Paralllel Multi-scale Attention)BLEU score43.5Unverified
9T5BLEU score43.4Unverified
10Local Joint Self-attentionBLEU score43.3Unverified
#ModelMetricClaimedVerifiedStatus
1PiNMTBLEU score40.43Unverified
2BiBERTBLEU score38.61Unverified
3Bi-SimCutBLEU score38.37Unverified
4Cutoff + Relaxed Attention + LMBLEU score37.96Unverified
5DRDABLEU score37.95Unverified
6Transformer + R-Drop + CutoffBLEU score37.9Unverified
7SimCutBLEU score37.81Unverified
8Cutoff+KneeBLEU score37.78Unverified
9CutoffBLEU score37.6Unverified
10CipherDAugBLEU score37.53Unverified
#ModelMetricClaimedVerifiedStatus
1HWTSC-Teacher-SimScore19.97Unverified
2MS-COMET-22Score19.89Unverified
3MS-COMET-QE-22Score19.76Unverified
4KG-BERTScoreScore17.28Unverified
5metricx_xl_DA_2019Score17.17Unverified
6COMET-QEScore16.8Unverified
7COMET-22Score16.31Unverified
8UniTE-srcScore15.68Unverified
9UniTE-refScore15.38Unverified
10metricx_xxl_DA_2019Score15.24Unverified