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 9901–9950 of 10752 papers

TitleStatusHype
Proceedings of the Eighth Workshop on Statistical Machine Translation—0
Proceedings of the Workshop on Discourse in Machine Translation—0
Bilingual Lexicon Extraction via Pivot Language and Word Alignment Tool—0
Bilingual Lexical Cohesion Trigger Model for Document-Level Machine Translation—0
Bilingual Data Cleaning for SMT using Graph-based Random Walk—0
Punctuation Prediction with Transition-based Parsing—0
QCRI-MES Submission at WMT13: Using Transliteration Mining to Improve Statistical Machine Translation—0
Beam Search for Solving Substitution Ciphers—0
Quality Estimation for Machine Translation Using the Joint Method of Evaluation Criteria and Statistical Modeling—0
QuEst - A translation quality estimation framework—0
Question Classification Transfer—0
A Visual Analytics System for Cluster Exploration—0
Ranking Translations using Error Analysis and Quality Estimation—0
Recognition of Named Entities Boundaries in Polish Texts—0
Automatic Interpretation of the English Possessive—0
Reducing Annotation Effort for Quality Estimation via Active Learning—0
Referential Translation Machines for Quality Estimation—0
Automatically Predicting Sentence Translation Difficulty—0
Reranking with Linguistic and Semantic Features for Arabic Optical Character Recognition—0
Results of the WMT13 Metrics Shared Task—0
A Tree Transducer Model for Grammatical Error Correction—0
A Tale about PRO and Monsters—0
A System for Summarizing Scientific Topics Starting from Keywords—0
Associative Texture Is Lost In Translation—0
A Shift-Reduce Parsing Algorithm for Phrase-based String-to-Dependency Translation—0
Scalable Decipherment for Machine Translation via Hash Sampling—0
Scalable Modified Kneser-Ney Language Model Estimation—0
Are ACT's Scores Increasing with Better Translation Quality?—0
Scientific registers and disciplinary diversification: a comparable corpus approach—0
Selecting Feature Sets for Comparative and Time-Oriented Quality Estimation of Machine Translation Output—0
A Pilot Study of Readability Prediction with Reading Time—0
A Phrase Orientation Model for Hierarchical Machine Translation—0
Semantic Neighborhoods as Hypergraphs—0
Semantic Parsing as Machine Translation—0
Semantic Roles for String to Tree Machine Translation—0
A Novel Translation Framework Based on Rhetorical Structure Theory—0
SenseSpotting: Never let your parallel data tie you to an old domain—0
An MT Error-Driven Discriminative Word Lexicon using Sentence Structure Features—0
Sentence Level Dialect Identification in Arabic—0
An Infinite Hierarchical Bayesian Model of Phrasal Translation—0
A New Syntactic Metric for Evaluation of Machine Translation—0
Shallow Local Multi-Bottom-up Tree Transducers in Statistical Machine Translation—0
Shallow Semantically-Informed PBSMT and HPBSMT—0
SHEF-Lite: When Less is More for Translation Quality Estimation—0
An Approach Using Style Classification Features for Quality Estimation—0
Analysing Lexical Consistency in Translation—0
Smoothed marginal distribution constraints for language modeling—0
A Multi-Domain Translation Model Framework for Statistical Machine Translation—0
Social Text Normalization using Contextual Graph Random Walks—0
A modular open-source focused crawler for mining monolingual and bilingual corpora from the web—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