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

Showing 88518900 of 10752 papers

TitleStatusHype
genCNN: A Convolutional Architecture for Word Sequence Prediction0
Long Short-Term Memory Over Tree Structures0
On Using Monolingual Corpora in Neural Machine Translation0
Context-Dependent Translation Selection Using Convolutional Neural Network0
Syntax-based Deep Matching of Short Texts0
Encoding Source Language with Convolutional Neural Network for Machine Translation0
Non-linear Learning for Statistical Machine Translation0
The NLP Engine: A Universal Turing Machine for NLP0
Local Translation Prediction with Global Sentence Representation0
A Survey of Word Reordering in Statistical Machine Translation: Computational Models and Language Phenomena0
Beyond Word-based Language Model in Statistical Machine Translation0
Use of Modality and Negation in Semantically-Informed Syntactic MT0
Scaling Recurrent Neural Network Language Models0
Survey:Natural Language Parsing For Indian Languages0
Phrase Based Language Model for Statistical Machine Translation: Empirical Study0
Phrase Based Language Model For Statistical Machine Translation0
Problems in Current Text Simplification Research: New Data Can Help0
Evaluating a Machine Translation System in a Technical Support Scenario0
Proceedings of the 1st Deep Machine Translation Workshop0
Modelling and Optimizing on Syntactic N-Grams for Statistical Machine Translation0
Latent Structures for Coreference Resolution0
First Steps in Using Word Senses as Contextual Features in Maxent Models for Machine Translation0
Machine Translation for Multilingual Troubleshooting in the IT Domain: A Comparison of Different Strategies0
Gappy Pattern Matching on GPUs for On-Demand Extraction of Hierarchical Translation Grammars0
Factored models for Deep Machine Translation0
Development of Telugu-Tamil Transfer-Based Machine Translation system: With Special reference to Divergence Index0
Extended Tree Transducers in Natural Language Processing0
Sequence Modeling using Gated Recurrent Neural Networks0
Three Equivalent Codes for Autosegmental Representations0
Pragmatic Neural Language Modelling in Machine Translation0
Bayesian Optimisation for Machine Translation0
Incremental Adaptation Strategies for Neural Network Language Models0
Embedding Word Similarity with Neural Machine Translation0
Recurrent-Neural-Network for Language Detection on Twitter Code-Switching Corpus0
On Using Very Large Target Vocabulary for Neural Machine TranslationCode0
Anou Tradir: Experiences In Building Statistical Machine Translation Systems For Mauritian Languages -- Creole, English, French0
Tackling Close Cousins: Experiences In Developing Statistical Machine Translation Systems For Marathi And Hindi0
Discourse for Machine Translation.0
Taking Antonymy Mask off in Vector Space0
AutoParSe: An Automatic Paradigm Selector For Nouns in Konkani0
Recognition of Sarcasms in Tweets Based on Concept Level Sentiment Analysis and Supervised Learning ApproachesCode0
A Domain-Restricted, Rule Based, English-Hindi Machine Translation System Based on Dependency Parsing0
How Sentiment Analysis Can Help Machine Translation0
Latent Trees for Coreference Resolution0
Incrementally Updating the SMT Reordering Model0
LMSim : Computing Domain-specific Semantic Word Similarities Using a Language Modeling Approach0
How to Know the Best Machine Translation System in Advance before Translating a Sentence?0
Extracting and Selecting Relevant Corpora for Domain Adaptation in MT0
Supertag Based Pre-ordering in Machine Translation0
TakeTwo: A Word Aligner based on Self Learning0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Transformer Cycle (Rev)BLEU score35.14Unverified
2Noisy back-translationBLEU score35Unverified
3Transformer+Rep(Uni)BLEU score33.89Unverified
4T5-11BBLEU score32.1Unverified
5BiBERTBLEU score31.26Unverified
6Transformer + R-DropBLEU score30.91Unverified
7Bi-SimCutBLEU score30.78Unverified
8BERT-fused NMTBLEU score30.75Unverified
9Data Diversification - TransformerBLEU score30.7Unverified
10SimCutBLEU score30.56Unverified
#ModelMetricClaimedVerifiedStatus
1Transformer+BT (ADMIN init)BLEU score46.4Unverified
2Noisy back-translationBLEU score45.6Unverified
3mRASP+Fine-TuneBLEU score44.3Unverified
4Transformer + R-DropBLEU score43.95Unverified
5Transformer (ADMIN init)BLEU score43.8Unverified
6AdminBLEU score43.8Unverified
7BERT-fused NMTBLEU score43.78Unverified
8MUSE(Paralllel Multi-scale Attention)BLEU score43.5Unverified
9T5BLEU score43.4Unverified
10Local Joint Self-attentionBLEU score43.3Unverified
#ModelMetricClaimedVerifiedStatus
1PiNMTBLEU score40.43Unverified
2BiBERTBLEU score38.61Unverified
3Bi-SimCutBLEU score38.37Unverified
4Cutoff + Relaxed Attention + LMBLEU score37.96Unverified
5DRDABLEU score37.95Unverified
6Transformer + R-Drop + CutoffBLEU score37.9Unverified
7SimCutBLEU score37.81Unverified
8Cutoff+KneeBLEU score37.78Unverified
9CutoffBLEU score37.6Unverified
10CipherDAugBLEU score37.53Unverified
#ModelMetricClaimedVerifiedStatus
1HWTSC-Teacher-SimScore19.97Unverified
2MS-COMET-22Score19.89Unverified
3MS-COMET-QE-22Score19.76Unverified
4KG-BERTScoreScore17.28Unverified
5metricx_xl_DA_2019Score17.17Unverified
6COMET-QEScore16.8Unverified
7COMET-22Score16.31Unverified
8UniTE-srcScore15.68Unverified
9UniTE-refScore15.38Unverified
10metricx_xxl_DA_2019Score15.24Unverified