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 7651–7700 of 10752 papers

TitleStatusHype
Measuring the behavioral impact of machine translation quality improvements with A/B testing—0
Does String-Based Neural MT Learn Source Syntax?—0
Does `well-being' translate on Twitter?—0
An Evaluation of Parser Robustness for Ungrammatical Sentences—0
A Neural Approach to Automated Essay ScoringCode0
Learning to Capitalize with Character-Level Recurrent Neural Networks: An Empirical Study—0
Learning Term Embeddings for Taxonomic Relation Identification Using Dynamic Weighting Neural Network—0
Learning principled bilingual mappings of word embeddings while preserving monolingual invarianceCode1
Latent Tree Language ModelCode0
Richer Interpolative Smoothing Based on Modified Kneser-Ney Language Modeling—0
Towards a Convex HMM Surrogate for Word Alignment—0
Deep Multi-Task Learning with Shared Memory for Text Classification—0
Automatic Extraction of Implicit Interpretations from Modal Constructions—0
Automatic Cross-Lingual Similarization of Dependency Grammars for Tree-based Machine Translation—0
IRT-based Aggregation Model of Crowdsourced Pairwise Comparison for Evaluating Machine Translations—0
Intra-Sentential Subject Zero Anaphora Resolution using Multi-Column Convolutional Neural Network—0
Insertion Position Selection Model for Flexible Non-Terminals in Dependency Tree-to-Tree Machine Translation—0
Unsupervised Word Alignment by Agreement Under ITG Constraint—0
Attention-based LSTM Network for Cross-Lingual Sentiment Classification—0
Convolutional Neural Network Language ModelsCode0
AMR Parsing with an Incremental Joint Model—0
A Stacking Gated Neural Architecture for Implicit Discourse Relation Classification—0
Dual Learning for Machine TranslationCode0
LightRNN: Memory and Computation-Efficient Recurrent Neural Networks—0
Neural Machine Translation in Linear TimeCode0
Sequence-to-sequence neural network models for transliterationCode0
Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes—0
Can Active Memory Replace Attention?Code0
Statistical Machine Translation for Indian Languages: Mission Hindi 2—0
Statistical Machine Translation for Indian Languages: Mission Hindi—0
Bridging Neural Machine Translation and Bilingual Dictionaries—0
Reordering rules for English-Hindi SMT—0
Lexicons and Minimum Risk Training for Neural Machine Translation: NAIST-CMU at WAT2016—0
Neural Machine Translation with Characters and Hierarchical EncodingCode0
Learning variable length units for SMT between related languages via Byte Pair Encoding—0
Iterative Refinement for Machine Translation—0
Addressing Community Question Answering in English and Arabic—0
SYSTRAN's Pure Neural Machine Translation Systems—0
Personalized Machine Translation: Preserving Original Author Traits—0
Pre-Translation for Neural Machine Translation—0
Interactive Attention for Neural Machine Translation—0
Neural Machine Translation Advised by Statistical Machine Translation—0
Translation Quality Estimation using Recurrent Neural Network—0
Fast, Scalable Phrase-Based SMT Decoding—0
Navigational Instruction Generation as Inverse Reinforcement Learning with Neural Machine Translation—0
Fully Character-Level Neural Machine Translation without Explicit SegmentationCode0
Enabling Medical Translation for Low-Resource Languages—0
Challenges of Computational Processing of Code-Switching—0
Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence ModelsCode1
Morphology Generation for Statistical Machine Translation using Deep Learning Techniques—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