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 7751–7800 of 10752 papers

TitleStatusHype
Generating English from Abstract Meaning Representations—0
Strategy and Policy Learning for Non-Task-Oriented Conversational Systems—0
Processing Document Collections to Automatically Extract Linked Data: Semantic Storytelling Technologies for Smart Curation Workflows—0
Do Characters Abuse More Than Words?—0
A Wizard-of-Oz Study on A Non-Task-Oriented Dialog Systems That Reacts to User Engagement—0
Language Portability for Dialogue Systems: Translating a Question-Answering System from English into Tamil—0
Generating sets of related sentences from input seed features—0
Reward Augmented Maximum Likelihood for Neural Structured Prediction—0
Context Gates for Neural Machine TranslationCode0
Learning to Start for Sequence to Sequence Architecture—0
An Efficient Character-Level Neural Machine TranslationCode0
Neural versus Phrase-Based Machine Translation Quality: a Case Study—0
Faster Training of Very Deep Networks Via p-Norm Gates—0
Temporal Attention Model for Neural Machine Translation—0
Resolving Out-of-Vocabulary Words with Bilingual Embeddings in Machine Translation—0
Winograd Schemas and Machine Translation—0
Learning Online Alignments with Continuous Rewards Policy Gradient—0
To Swap or Not to Swap? Exploiting Dependency Word Pairs for Reordering in Statistical Machine Translation—0
ParFDA for Instance Selection for Statistical Machine Translation—0
A Linear Baseline Classifier for Cross-Lingual Pronoun Prediction—0
Alignment-Based Neural Machine Translation—0
Combining Phonology and Morphology for the Normalization of Historical Texts—0
A Shared Task on Multimodal Machine Translation and Crosslingual Image Description—0
Sheffield Systems for the English-Romanian WMT Translation Task—0
The Kyoto University Cross-Lingual Pronoun Translation System—0
First Steps Towards Coverage-Based Document Alignment—0
Find the word that does not belong: A Framework for an Intrinsic Evaluation of Word Vector Representations—0
The Karlsruhe Institute of Technology Systems for the News Translation Task in WMT 2016—0
CobaltF: A Fluent Metric for MT Evaluation—0
Findings of the WMT 2016 Bilingual Document Alignment Shared Task—0
Quick and Reliable Document Alignment via TF/IDF-weighted Cosine Distance—0
Findings of the 2016 Conference on Machine Translation—0
Pronoun Prediction with Linguistic Features and Example Weighing—0
Pronoun Prediction with Latent Anaphora Resolution—0
Pronoun Language Model and Grammatical Heuristics for Aiding Pronoun Prediction—0
PROMT Translation Systems for WMT 2016 Translation Tasks—0
Feature Exploration for Cross-Lingual Pronoun Prediction—0
Proceedings of the First Conference on Machine Translation: Volume 1, Research Papers—0
Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers—0
UGENT-LT3 SCATE Submission for WMT16 Shared Task on Quality Estimation—0
chrF deconstructed: beta parameters and n-gram weights—0
Recurrent Neural Network based Translation Quality Estimation—0
Fast and highly parallelizable phrase table for statistical machine translation—0
The QT21/HimL Combined Machine Translation System—0
Unbabel's Participation in the WMT16 Word-Level Translation Quality Estimation Shared Task—0
WMT2016: A Hybrid Approach to Bilingual Document Alignment—0
PJAIT Systems for the WMT 2016—0
CharacTer: Translation Edit Rate on Character Level—0
Extract Domain-specific Paraphrase from Monolingual Corpus for Automatic Evaluation of Machine Translation—0
Phrase-Based SMT for Finnish with More Data, Better Models and Alternative Alignment and Translation Tools—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