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 7951–8000 of 10752 papers

TitleStatusHype
The QT21/HimL Combined Machine Translation System—0
The ILSP/ARC submission to the WMT 2016 Bilingual Document Alignment Shared Task—0
YODA System for WMT16 Shared Task: Bilingual Document Alignment—0
Word embeddings and discourse information for Quality Estimation—0
WMT2016: A Hybrid Approach to Bilingual Document Alignment—0
Word Clustering Approach to Bilingual Document Alignment (WMT 2016 Shared Task)—0
Transductive Adaptation of Black Box Predictions—0
Using Factored Word Representation in Neural Network Language Models—0
TMop: a Tool for Unsupervised Translation Memory CleaningCode0
TranscRater: a Tool for Automatic Speech Recognition Quality Estimation—0
WMT 2016 Multimodal Translation System Description based on Bidirectional Recurrent Neural Networks with Double-Embeddings—0
The TALP--UPC Spanish--English WMT Biomedical Task: Bilingual Embeddings and Char-based Neural Language Model Rescoring in a Phrase-based System—0
Unbabel's Participation in the WMT16 Word-Level Translation Quality Estimation Shared Task—0
The Karlsruhe Institute of Technology Systems for the News Translation Task in WMT 2016—0
The UU Submission to the Machine Translation Quality Estimation Task—0
Using Term Position Similarity and Language Modeling for Bilingual Document Alignment—0
Whitepaper of NEWS 2016 Shared Task on Machine Transliteration—0
Unsupervised morph segmentation and statistical language models for vocabulary expansion—0
Top a Splitter: Using Distributional Semantics for Improving Compound Splitting—0
UAlacant word-level and phrase-level machine translation quality estimation systems at WMT 2016—0
YSDA Participation in the WMT'16 Quality Estimation Shared Task—0
The RWTH Aachen University English-Romanian Machine Translation System for WMT 2016—0
Using Word Embeddings for Improving Statistical Machine Translation of Phrasal Verbs—0
Supervised Attentions for Neural Machine Translation—0
Connecting Phrase based Statistical Machine Translation Adaptation—0
Cseq2seq: Cyclic Sequence-to-Sequence Learning—0
An Actor-Critic Algorithm for Sequence PredictionCode0
Neural Machine Translation with Recurrent Attention Modeling—0
Neural Semantic EncodersCode0
Using Recurrent Neural Network for Learning Expressive Ontologies—0
sk_p: a neural program corrector for MOOCs—0
Neural Name Translation Improves Neural Machine Translation—0
A Maturity Model for Public Administration as Open Translation Data Providers—0
Guided Alignment Training for Topic-Aware Neural Machine TranslationCode0
Target-Side Context for Discriminative Models in Statistical Machine Translation—0
Etude de l'impact d'un lexique bilingue sp\'ecialis\'e sur la performance d'un moteur de traduction \`a base d'exemples (Studying the impact of a specialized bilingual lexicon on the performance of an example-based machine translation engine)—0
Investigating gender adaptation for speech translation—0
From Human Language Technology to Human Language Science—0
Word2Vec vs DBnary ou comment (r\'e)concilier repr\'esentations distribu\'ees et r\'eseaux lexico-s\'emantiques ? Le cas de l'\'evaluation en traduction automatique (Word2Vec vs DBnary or how to bring back together vector representations and lexical resources ? A case study for machine translation evaluation)—0
Exploring Prediction Uncertainty in Machine Translation Quality Estimation—0
HUME: Human UCCA-Based Evaluation of Machine TranslationCode0
Compression of Neural Machine Translation Models via PruningCode0
CUNI System for WMT16 Automatic Post-Editing and Multimodal Translation Tasks—0
Egyptian Arabic to English Statistical Machine Translation System for NIST OpenMT'2015—0
A Study of MatchPyramid Models on Ad-hoc RetrievalCode0
The Edit Distance Transducer in Action: The University of Cambridge English-German System at WMT16—0
Semi-Supervised Learning for Neural Machine Translation—0
A Correlational Encoder Decoder Architecture for Pivot Based Sequence Generation—0
Deep Recurrent Models with Fast-Forward Connections for Neural Machine TranslationCode0
Word Representation Models for Morphologically Rich Languages in Neural Machine Translation—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