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 8501–8550 of 10752 papers

TitleStatusHype
Generalized Agreement for Bidirectional Word Alignment—0
Proceedings of the Tenth Workshop on Statistical Machine Translation—0
Bilingual Structured Language Models for Statistical Machine Translation—0
New Language Pairs in TectoMT—0
Dependency Graph-to-String Translation—0
Identification and Disambiguation of Lexical Cues of Rhetorical Relations across Different Text Genres—0
How to Avoid Unwanted Pregnancies: Domain Adaptation using Neural Network Models—0
Improving Semantic Parsing with Enriched Synchronous Context-Free Grammar—0
Automatic Text Simplification for Spanish: Comparative Evaluation of Various Simplification Strategies—0
Exploration of Inter- and Intralingual Variation of Discourse Phenomena—0
Statistical Machine Translation with Automatic Identification of Translationese—0
Part-of-Speech Driven Cross-Lingual Pronoun Prediction with Feed-Forward Neural Networks—0
Feature-Rich Part-Of-Speech Tagging Using Deep Syntactic and Semantic Analysis—0
Montreal Neural Machine Translation Systems for WMT'15—0
Dependency Analysis of Scrambled References for Better Evaluation of Japanese Translation—0
Statistical Machine Translation Improvement based on Phrase Selection—0
A Joint Dependency Model of Morphological and Syntactic Structure for Statistical Machine Translation—0
Reordering Grammar Induction—0
ListNet-based MT Rescoring—0
VERTa: a Linguistically-motivated Metric at the WMT15 Metrics Task—0
Using the Textual Content of the LMF-Normalized Dictionaries for Identifying and Linking the Syntactic Behaviors to the Meanings—0
Tuning Phrase-Based Segmented Translation for a Morphologically Complex Target Language—0
The University of Illinois submission to the WMT 2015 Shared Translation Task—0
The Role of Expectedness in the Implicitation and Explicitation of Discourse Relations—0
UPF-Cobalt Submission to WMT15 Metrics Task—0
Variable-Length Word Encodings for Neural Translation Models—0
Translation Model Adaptation Using Genre-Revealing Text Features—0
Visual Bilingual Lexicon Induction with Transferred ConvNet Features—0
Why Predicting Post-Edition is so Hard? Failure Analysis of LIMSI Submission to the APE Shared Task—0
What's in an Embedding? Analyzing Word Embeddings through Multilingual Evaluation—0
Unsupervised learning of agglutinated morphology using nested Pitman-Yor process based morpheme induction algorithm—0
USAAR-SAPE: An English--Spanish Statistical Automatic Post-Editing System—0
USHEF and USAAR-USHEF participation in the WMT15 QE shared task—0
UGENT-LT3 SCATE System for Machine Translation Quality Estimation—0
The KIT-LIMSI Translation System for WMT 2015—0
UdS-Sant: English--German Hybrid Machine Translation System—0
The RWTH Aachen German-English Machine Translation System for WMT 2015—0
WikiTrans: Swedish-Danish Machine Translation in a Constraint Grammar Framework—0
UAlacant word-level machine translation quality estimation system at WMT 2015—0
The Karlsruhe Institute of Technology Translation Systems for the WMT 2015—0
Translating from Original to Simplified Sentences using Moses: When does it Actually Work?—0
Touch-Based Pre-Post-Editing of Machine Translation Output—0
Auto-Sizing Neural Networks: With Applications to n-gram Language Models—0
Probabilistic Modelling of Morphologically Rich Languages—0
Depth-Gated LSTM—0
Adapting Phrase-based Machine Translation to Normalise Medical Terms in Social Media Messages—0
Removing Biases from Trainable MT Metrics by Using Self-Training—0
Feature-based Decipherment for Large Vocabulary Machine Translation—0
Improve the Evaluation of Fluency Using Entropy for Machine Translation Evaluation Metrics—0
An Automatic Machine Translation Evaluation Metric Based on Dependency Parsing Model—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