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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 7801–7850 of 10752 papers

TitleStatusHype
Unbabel's Participation in the WMT16 Word-Level Translation Quality Estimation Shared Task—0
Using Term Position Similarity and Language Modeling for Bilingual Document Alignment—0
The AFRL-MITLL WMT16 News-Translation Task Systems—0
Examining the Relationship between Preordering and Word Order Freedom in Machine Translation—0
Regulating Orthography-Phonology Relationship for English to Thai Transliteration—0
Applying Neural Networks to English-Chinese Named Entity Transliteration—0
NYU-MILA Neural Machine Translation Systems for WMT'16—0
NRC Russian-English Machine Translation System for WMT 2016—0
Evaluating and Combining Name Entity Recognition Systems—0
The Karlsruhe Institute of Technology Systems for the News Translation Task in WMT 2016—0
English-Portuguese Biomedical Translation Task Using a Genuine Phrase-Based Statistical Machine Translation Approach—0
English-French Document Alignment Based on Keywords and Statistical Translation—0
Quick and Reliable Document Alignment via TF/IDF-weighted Cosine Distance—0
EM-Training for Weighted Aligned Hypergraph Bimorphisms—0
EmpiriST: AIPHES - Robust Tokenization and POS-Tagging for Different Genres—0
The ADAPT Bilingual Document Alignment system at WMT16—0
bot.zen @ EmpiriST 2015 - A minimally-deep learning PoS-tagger (trained for German CMC and Web data)—0
UGENT-LT3 SCATE Submission for WMT16 Shared Task on Quality Estimation—0
Using Factored Word Representation in Neural Network Language Models—0
USFD's Phrase-level Quality Estimation Systems—0
Edinburgh's Statistical Machine Translation Systems for WMT16—0
Bitextor's participation in WMT'16: shared task on document alignment—0
Moses-based official baseline for NEWS 2016—0
Morphological reinflection with convolutional neural networks—0
The RWTH Aachen University English-Romanian Machine Translation System for WMT 2016—0
The JHU Machine Translation Systems for WMT 2016—0
Modeling verbal inflection for English to German SMT—0
Modeling Selectional Preferences of Verbs and Nouns in String-to-Tree Machine Translation—0
Modeling Complement Types in Phrase-Based SMT—0
DTED: Evaluation of Machine Translation Structure Using Dependency Parsing and Tree Edit Distance—0
Bilingual Embeddings and Word Alignments for Translation Quality Estimation—0
MetaMind Neural Machine Translation System for WMT 2016—0
Merged bilingual trees based on Universal Dependencies in Machine Translation—0
MED: The LMU System for the SIGMORPHON 2016 Shared Task on Morphological Reinflection—0
SHEF-LIUM-NN: Sentence level Quality Estimation with Neural Network Features—0
SHEF-Multimodal: Grounding Machine Translation on Images—0
Referential Translation Machines for Predicting Translation Performance—0
A Framework for Discriminative Rule Selection in Hierarchical Moses—0
SMT and Hybrid systems of the QTLeap project in the WMT16 IT-task—0
SHEF-MIME: Word-level Quality Estimation Using Imitation Learning—0
DOCAL - Vicomtech's Participation in the WMT16 Shared Task on Bilingual Document Alignment—0
The Edinburgh/LMU Hierarchical Machine Translation System for WMT 2016—0
Sheffield Systems for the English-Romanian WMT Translation Task—0
Distributed representation and estimation of WFST-based n-gram models—0
UAlacant word-level and phrase-level machine translation quality estimation systems at WMT 2016—0
LIMSI@WMT'16: Machine Translation of News—0
LIMSI's Contribution to the WMT'16 Biomedical Translation Task—0
Recurrent Neural Network based Translation Quality Estimation—0
Dictionary-based Domain Adaptation of MT Systems without Retraining—0
DFKI's system for WMT16 IT-domain task, including analysis of systematic errors—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