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 90019050 of 10752 papers

TitleStatusHype
Large-scale Reordering Model for Statistical Machine Translation using Dual Multinomial Logistic Regression0
Large-scale Expected BLEU Training of Phrase-based Reordering Models0
Language Identification in Code-Switching Scenario0
Search-Aware Tuning for Machine Translation0
Improved Decipherment of Homophonic Ciphers0
Improve Statistical Machine Translation with Context-Sensitive Bilingual Semantic Embedding Model0
KyotoEBMT System Description for the 1st Workshop on Asian Translation0
Improving Pivot-Based Statistical Machine Translation by Pivoting the Co-occurrence Count of Phrase Pairs0
An Etymological Approach to Cross-Language Orthographic Similarity. Application on Romanian0
A Pipeline Approach to Supervised Error Correction for the QALB-2014 Shared Task0
An Iterative Link-based Method for Parallel Web Page Mining0
Semantic-Based Multilingual Document Clustering via Tensor Modeling0
An Unsupervised Model for Instance Level Subcategorization Acquisition0
Translation Modeling with Bidirectional Recurrent Neural Networks0
Word Translation Prediction for Morphologically Rich Languages with Bilingual Neural Networks0
Unsupervised Word Segmentation Improves Dialectal Arabic to English Machine Translation0
Transformation from Discontinuous to Continuous Word Alignment Improves Translation Quality0
Two Improvements to Left-to-Right Decoding for Hierarchical Phrase-based Machine Translation0
Translation Rules with Right-Hand Side Lattices0
Type-based MCMC for Sampling Tree Fragments from Forests0
The SAS Statistical Machine Translation System for WAT 20140
Word's Vector Representations meet Machine Translation0
Weblio Pre-reordering Statistical Machine Translation System0
Word Order Does NOT Differ Significantly Between Chinese and Japanese0
Vector Space Models for Phrase-based Machine Translation0
Toshiba MT System Description for the WAT2014 Workshop0
Unsupervised Word Alignment Using Frequency Constraint in Posterior Regularized EM0
Improving the Performance of English-Tamil Statistical Machine Translation System using Source-Side Pre-Processing0
Semantically-Informed Syntactic Machine Translation: A Tree-Grafting Approach0
Using crowdsourcing system for creating site-specific statistical machine translation engine0
10,000+ Times Accelerated Robust Subset Selection (ARSS)0
Sequence to Sequence Learning with Neural NetworksCode0
Recurrent Neural Network RegularizationCode0
Overcoming the Curse of Sentence Length for Neural Machine Translation using Automatic Segmentation0
Pushdown Automata in Statistical Machine Translation0
Obituary: Charles J. Fillmore0
A Comparative Study of Different Classification Methods for the Identification of Brazilian Portuguese Multiword Expressions0
Relative clause extraction for syntactic simplification0
gdbank: The beginnings of a corpus of dependency structures and type-logical grammar in Scottish Gaelic0
Compilation of a Swiss German Dialect Corpus and its Application to PoS Tagging0
BEL: Bagging for Entity Linking0
Investigating the Usefulness of Generalized Word Representations in SMT0
Inferring Knowledge with Word Refinements in a Crowdsourced Lexical-Semantic Network0
Ontology-based Technical Text Annotation0
Pos-tagging different varieties of Occitan with single-dialect resources0
Soft Dependency Matching for Hierarchical Phrase-based Machine Translation0
Machine Translation Quality Estimation Across Domains0
A Neural Reordering Model for Phrase-based Translation0
Fourteen Light Tasks for comparing Analogical and Phrase-based Machine Translation0
Fast Domain Adaptation of SMT models without in-Domain Parallel Data0
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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