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 9201–9250 of 10752 papers

TitleStatusHype
FBK-UPV-UEdin participation in the WMT14 Quality Estimation shared-task—0
Exploring Consensus in Machine Translation for Quality Estimation—0
Dependency-based Automatic Enumeration of Semantically Equivalent Word Orders for Evaluating Japanese Translations—0
Randomized Significance Tests in Machine Translation—0
Machine Translation and Monolingual Postediting: The AFRL WMT-14 System—0
SHEF-Lite 2.0: Sparse Multi-task Gaussian Processes for Translation Quality Estimation—0
Experiments in Medical Translation Shared Task at WMT 2014—0
English-to-Hindi system description for WMT 2014: Deep Source-Context Features for Moses—0
LAYERED: Metric for Machine Translation Evaluation—0
Generating Subjective Responses to Opinionated Articles in Social Media: An Agenda-Driven Architecture and a Turing-Like Test—0
Referential Translation Machines for Predicting Translation Quality—0
Proceedings of the Ninth Workshop on Statistical Machine Translation—0
CimS -- The CIS and IMS joint submission to WMT 2014 translating from English into German—0
Efficient Elicitation of Annotations for Human Evaluation of Machine TranslationCode0
Parmesan: Meteor without Paraphrases with Paraphrased References—0
Unsupervised Techniques for Extracting and Clustering Complex Events in News—0
The DCU-ICTCAS MT system at WMT 2014 on German-English Translation Task—0
Target-Centric Features for Translation Quality Estimation—0
Unsupervised Adaptation for Statistical Machine Translation—0
The CMU Machine Translation Systems at WMT 2014—0
The UA-Prompsit hybrid machine translation system for the 2014 Workshop on Statistical Machine Translation—0
Text simplification using synchronous dependency grammars: Generalising automatically harvested rules—0
Using Comparable Corpora to Adapt MT Models to New Domains—0
VERTa participation in the WMT14 Metrics Task—0
The Karlsruhe Institute of Technology Translation Systems for the WMT 2014—0
The KIT-LIMSI Translation System for WMT 2014—0
The RWTH Aachen German-English Machine Translation System for WMT 2014—0
Yandex School of Data Analysis Russian-English Machine Translation System for WMT14—0
The IIT Bombay Hindi-English Translation System at WMT 2014—0
Tolerant BLEU: a Submission to the WMT14 Metrics Task—0
Translation Class Instruction as Collaboration in the Act of Translation—0
InterlinguaPlus Machine Translation Approach for Local Languages: Ekegusii \& Swahili—0
Hallucinating Phrase Translations for Low Resource MT—0
A Unified Framework for Grammar Error Correction—0
POSTECH Grammatical Error Correction System in the CoNLL-2014 Shared Task—0
Factored Statistical Machine Translation for Grammatical Error Correction—0
Grammatical error correction using hybrid systems and type filtering—0
Factored Markov Translation with Robust Modeling—0
Tuning a Grammar Correction System for Increased Precision—0
Treebank Translation for Cross-Lingual Parser Induction—0
The AMU System in the CoNLL-2014 Shared Task: Grammatical Error Correction by Data-Intensive and Feature-Rich Statistical Machine Translation—0
Unsupervised Morphology-Based Vocabulary Expansion—0
Syntactic Processing Using Global Discriminative Learning and Beam-Search Decoding—0
Towards a discourse relation-aware approach for Chinese-English machine translation—0
Two Knives Cut Better Than One: Chinese Word Segmentation with Dual Decomposition—0
Toward Better Chinese Word Segmentation for SMT via Bilingual Constraints—0
Translation Assistance by Translation of L1 Fragments in an L2 Context—0
Unsupervised Dependency Parsing with Transferring Distribution via Parallel Guidance and Entropy Regularization—0
Word Segmentation of Informal Arabic with Domain Adaptation—0
The Excitement Open Platform for Textual Inferences—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