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 3801–3850 of 10752 papers

TitleStatusHype
An Exploration of Data Augmentation Techniques for Improving English to Tigrinya Translation—0
Leveraging Neural Machine Translation for Word AlignmentCode0
Few-shot learning through contextual data augmentationCode0
Evaluating the Morphosyntactic Well-formedness of Generated TextsCode0
Autocorrect in the Process of Translation -- Multi-task Learning Improves Dialogue Machine TranslationCode0
English-Twi Parallel Corpus for Machine Translation—0
Unsupervised Machine Translation On Dravidian Languages—0
Contextual Text Embeddings for Twi—0
PENELOPIE: Enabling Open Information Extraction for the Greek Language through Machine TranslationCode0
Mutually-Constrained Monotonic Multihead Attention for Online ASR—0
Low-Resource Machine Translation Training Curriculum Fit for Low-Resource Languages—0
Repairing Pronouns in Translation with BERT-Based Post-Editing—0
The NLP Cookbook: Modern Recipes for Transformer based Deep Learning Architectures—0
Monolingual and Parallel Corpora for Kangri Low Resource LanguageCode0
Local Interpretations for Explainable Natural Language Processing: A Survey—0
The Effectiveness of Morphology-aware Segmentation in Low-Resource Neural Machine Translation—0
Token-wise Curriculum Learning for Neural Machine Translation—0
Dependency Graph-to-String Statistical Machine Translation—0
API2Com: On the Improvement of Automatically Generated Code Comments Using API Documentations—0
Congolese Swahili Machine Translation for Humanitarian ResponseCode0
Smoothing and Shrinking the Sparse Seq2Seq Search SpaceCode0
Towards Few-Shot Fact-Checking via Perplexity—0
Gumbel-Attention for Multi-modal Machine Translation—0
Towards the evaluation of automatic simultaneous speech translation from a communicative perspective—0
Crowdsourced Phrase-Based Tokenization for Low-Resourced Neural Machine Translation: The Case of Fon Language—0
OkwuGbé: End-to-End Speech Recognition for Fon and IgboCode0
Bilingual Dictionary-based Language Model Pretraining for Neural Machine Translation—0
Visual Cues and Error Correction for Translation RobustnessCode0
Towards Continual Learning for Multilingual Machine Translation via Vocabulary Substitution—0
Active^2 Learning: Actively reducing redundancies in Active Learning methods for Sequence Tagging and Machine Translation—0
Learning Policies for Multilingual Training of Neural Machine Translation Systems—0
Unsupervised Transfer Learning in Multilingual Neural Machine Translation with Cross-Lingual Word Embeddings—0
Learning Feature Weights using Reward Modeling for Denoising Parallel Corpora—0
Self-Learning for Zero Shot Neural Machine Translation—0
Translating the Unseen? Yoruba-English MT in Low-Resource, Morphologically-Unmarked SettingsCode0
Hierarchical Transformer for Multilingual Machine Translation—0
An empirical analysis of phrase-based and neural machine translation—0
Random Feature Attention—0
Expanding the JHU Bible Corpus for Machine Translation of the Indigenous Languages of North America—0
The Usefulness of Bibles in Low-Resource Machine Translation—0
Query Rewriting via Cycle-Consistent Translation for E-Commerce Search—0
Formal Basis of a Language Universal—0
OmniNet: Omnidirectional Representations from TransformersCode0
Gradient-guided Loss Masking for Neural Machine Translation—0
Multichannel LSTM-CNN for Telugu Technical Domain Identification—0
CDA: a Cost Efficient Content-based Multilingual Web Document Aligner—0
Understanding and Enhancing the Use of Context for Machine Translation—0
Machine Translation Customization via Automatic Training Data Selection from the Web—0
Multi-Domain Adaptation in Neural Machine Translation Through Multidimensional TaggingCode0
Sparsely Factored Neural Machine TranslationCode0
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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