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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 5051–5100 of 10752 papers

TitleStatusHype
RankNAS: Efficient Neural Architecture Search by Pairwise Ranking—0
Rank-One Editing of Encoder-Decoder Models—0
Rapid Domain Adaptation for Machine Translation with Monolingual Data—0
Rare but Severe Errors Induced by Minimal Deletions in English-Chinese Neural Machine Translation—0
Rare Tokens Degenerate All Tokens: Improving Neural Text Generation via Adaptive Gradient Gating for Rare Token Embeddings—0
Rare Tokens Degenerate All Tokens: Improving Neural Text Generation via Adaptive Gradient Gating for Rare Token Embeddings—0
Rationalization: A Neural Machine Translation Approach to Generating Natural Language Explanations—0
RBMT as an alternative to SMT for under-resourced languages—0
Readability Assessment of Translated Texts—0
Reading and Thinking: Re-read LSTM Unit for Textual Entailment Recognition—0
Reading Comprehension in Czech via Machine Translation and Cross-lingual Transfer—0
Reading metrics for estimating task efficiency with MT output—0
Realignment from Finer-grained Alignment to Coarser-grained Alignment to Enhance Mongolian-Chinese SMT—0
Realization of common statistical methods in computational linguistics with functional automata—0
Real Time Adaptive Machine Translation for Post-Editing with cdec and TransCenter—0
Real-Time Detection of Electronic Components in Waste Printed Circuit Boards: A Transformer-Based Approach—0
Real-time Incremental Speech-to-Speech Translation of Dialogs—0
Real-Time Statistical Speech Translation—0
Real-World Compositional Generalization with Disentangled Sequence-to-Sequence Learning—0
Re-assessing the Impact of SMT Techniques with Human Evaluation: a Case Study on English---Croatian—0
Re-assessing the WMT2013 Human Evaluation with Professional Translators Trainees—0
Recall is the Proper Evaluation Metric for Word Segmentation—0
Recent Advances in Video Question Answering: A Review of Datasets and Methods—0
Recent Progress in Deep Learning for NLP—0
Recent Trends in the Use of Deep Learning Models for Grammar Error Handling—0
Recipes for Adapting Pre-trained Monolingual and Multilingual Models to Machine Translation—0
Recognition of Named Entities Boundaries in Polish Texts—0
Recognizing Emotions in Video Using Multimodal DNN Feature Fusion—0
Recognizing Long Grammatical Sequences Using Recurrent Networks Augmented With An External Differentiable Stack—0
Recognizing Textual Entailment in Twitter Using Word Embeddings—0
Recognizing Textual Entailment using Dependency Analysis and Machine Learning—0
Reconciling Heterogeneous Descriptions of Language Resources—0
Reconsidering Sentence-Level Sign Language Translation—0
Reconsidering SMT Over NMT for Closely Related Languages: A Case Study of Persian-Hindi Pair—0
Recovering dialect geography from an unaligned comparable corpus—0
Recovering document annotations for sentence-level bitext—0
RECSA: Resource for Evaluating Cross-lingual Semantic Annotation—0
Recurrent Attention for the Transformer—0
Recurrent Continuous Translation Models—0
Recurrent Graph Syntax Encoder for Neural Machine Translation—0
Recurrently Controlling a Recurrent Network with Recurrent Networks Controlled by More Recurrent Networks—0
Recurrent multiple shared layers in Depth for Neural Machine Translation—0
Recurrent Neural Network Based Loanwords Identification in Uyghur—0
Recurrent Neural Network based Rule Sequence Model for Statistical Machine Translation—0
Recurrent Neural Network based Translation Quality Estimation—0
Recurrent Neural Network-based Tuple Sequence Model for Machine Translation—0
Recurrent-Neural-Network for Language Detection on Twitter Code-Switching Corpus—0
Recurrent Neural Networks for Word Alignment Model—0
Recurrent Positional Embedding for Neural Machine Translation—0
Recurrent Stacking of Layers for Compact Neural Machine Translation Models—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