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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 5401–5450 of 10752 papers

TitleStatusHype
A Multi-Task Architecture on Relevance-based Neural Query Translation—0
Generalizing Back-Translation in Neural Machine Translation—0
Automatic Conditional Generation of Personalized Social Media Short Texts—0
Tagged Back-Translation—0
A Simple and Effective Approach to Automatic Post-Editing with Transfer LearningCode1
Character n-gram Embeddings to Improve RNN Language Models—0
Lattice Transformer for Speech Translation—0
Neural Arabic Question AnsweringCode0
Does BLEU Score Work for Code Migration?—0
Monotonic Infinite Lookback Attention for Simultaneous Machine Translation—0
Keeping Notes: Conditional Natural Language Generation with a Scratchpad MechanismCode0
A Focus on Neural Machine Translation for African LanguagesCode0
Translating Translationese: A Two-Step Approach to Unsupervised Machine Translation—0
Improving Neural Language Modeling via Adversarial TrainingCode0
Generalized Data Augmentation for Low-Resource Translation—0
There is no Artificial General Intelligence—0
Happy Together: Learning and Understanding Appraisal From Natural Language—0
Making Asynchronous Stochastic Gradient Descent Work for Transformers—0
Word-based Domain Adaptation for Neural Machine Translation—0
Shared-Private Bilingual Word Embeddings for Neural Machine Translation—0
From Caesar Cipher to Unsupervised Learning: A New Method for Classifier Parameter Estimation—0
Syntactically Supervised Transformers for Faster Neural Machine TranslationCode0
Bridging the Gap between Training and Inference for Neural Machine Translation—0
Unsupervised Pivot Translation for Distant Languages—0
Robust Neural Machine Translation with Doubly Adversarial Inputs—0
Efficient, Lexicon-Free OCR using Deep Learning—0
Towards conceptual generalization in the embedding spaceCode0
Learning Deep Transformer Models for Machine TranslationCode0
Imitation Learning for Non-Autoregressive Neural Machine Translation—0
Learning Bilingual Sentence Embeddings via Autoencoding and Computing Similarities with a Multilayer Perceptron—0
Exploiting Sentential Context for Neural Machine Translation—0
Post-editing Productivity with Neural Machine Translation: An Empirical Assessment of Speed and Quality in the Banking and Finance Domain—0
Lattice-Based Transformer Encoder for Neural Machine Translation—0
Improved Zero-shot Neural Machine Translation via Ignoring Spurious Correlations—0
KERMIT: Generative Insertion-Based Modeling for Sequences—0
Transforming Complex Sentences into a Semantic HierarchyCode1
Dynamically Composing Domain-Data Selection with Clean-Data Selection by "Co-Curricular Learning" for Neural Machine Translation—0
Resolving Gendered Ambiguous Pronouns with BERTCode0
Training Neural Machine Translation To Apply Terminology ConstraintsCode0
Assessing the Ability of Self-Attention Networks to Learn Word OrderCode0
Evaluating Gender Bias in Machine TranslationCode1
Fluent Translations from Disfluent Speech in End-to-End Speech Translation—0
From Words to Sentences: A Progressive Learning Approach for Zero-resource Machine Translation with Visual Pivots—0
Masked Non-Autoregressive Image Captioning—0
Domain Adaptive Inference for Neural Machine Translation—0
Domain Adaptation of Neural Machine Translation by Lexicon InductionCode1
Incorporating Source-Side Phrase Structures into Neural Machine Translation—0
Neural Text Simplification in Low-Resource Conditions Using Weak Supervision—0
Neural Machine Translation between Myanmar (Burmese) and Rakhine (Arakanese)—0
Grounded Word Sense Translation—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
5AdminBLEU score43.8—Unverified
6Transformer (ADMIN init)BLEU 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