SOTAVerified

NMT

Neural machine translation is an approach to machine translation that uses an artificial neural network to predict the likelihood of a sequence of words, typically modeling entire sentences in a single integrated model.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1501–1550 of 1773 papers

TitleStatusHype
A Deep Learning Based Approach to Transliteration—0
Adaptive Knowledge Sharing in Multi-Task Learning: Improving Low-Resource Neural Machine Translation—0
OpenNMT System Description for WNMT 2018: 800 words/sec on a single-core CPU—0
Neural Machine Translation with Key-Value Memory-Augmented Attention—0
Neural Machine Translation for Low Resource Languages using Bilingual Lexicon Induced from Comparable Corpora—0
On Adversarial Examples for Character-Level Neural Machine TranslationCode0
Learning from Chunk-based Feedback in Neural Machine Translation—0
A Comparison of Transformer and Recurrent Neural Networks on Multilingual Neural Machine Translation—0
Morphological and Language-Agnostic Word Segmentation for NMTCode0
An Evaluation of Neural Machine Translation Models on Historical Spelling NormalizationCode0
Fusing Recency into Neural Machine Translation with an Inter-Sentence Gate Model—0
Deconvolution-Based Global Decoding for Neural Machine TranslationCode0
Multilingual Neural Machine Translation with Task-Specific Attention—0
Multi-Source Neural Machine Translation with Missing Data—0
How Do Source-side Monolingual Word Embeddings Impact Neural Machine Translation?—0
Dense Information Flow for Neural Machine TranslationCode0
Morphological Word Embeddings for Arabic Neural Machine Translation in Low-Resource Settings—0
A Survey of Domain Adaptation for Neural Machine Translation—0
Meaningless yet meaningful: Morphology grounded subword-level NMT—0
Neural Sign Language TranslationCode0
Bi-Directional Neural Machine Translation with Synthetic Parallel Data—0
Inducing Grammars with and for Neural Machine Translation—0
Reliability and Learnability of Human Bandit Feedback for Sequence-to-Sequence Reinforcement LearningCode0
Japanese Predicate Conjugation for Neural Machine Translation—0
Zero-Shot Dual Machine TranslationCode0
Phrase Table as Recommendation Memory for Neural Machine Translation—0
Meta-Learning for Low-Resource Neural Machine Translation—0
Echo: Compiler-based GPU Memory Footprint Reduction for LSTM RNN Training—0
Sparse and Constrained Attention for Neural Machine TranslationCode0
Combining Advanced Methods in Japanese-Vietnamese Neural Machine TranslationCode0
Are BLEU and Meaning Representation in Opposition?—0
Towards Robust Neural Machine Translation—0
Triangular Architecture for Rare Language Translation—0
First Experiments with Neural Translation of Informal to Formal Mathematics—0
Deep Neural Machine Translation with Weakly-Recurrent UnitsCode0
Character-level Chinese-English Translation through ASCII EncodingCode0
Neural Machine Translation Decoding with Terminology Constraints—0
Improving Character-level Japanese-Chinese Neural Machine Translation with Radicals as an Additional Input Feature—0
Stay On-Topic: Generating Context-specific Fake Restaurant ReviewsCode0
Multi-Domain Neural Machine Translation—0
Compositional Representation of Morphologically-Rich Input for Neural Machine Translation—0
Exploring Hyper-Parameter Optimization for Neural Machine Translation on GPU Architectures—0
Incorporating Chinese Radicals Into Neural Machine Translation: Deeper Than Character LevelCode0
KNPTC: Knowledge and Neural Machine Translation Powered Chinese Pinyin Typo Correction—0
Multi-representation Ensembles and Delayed SGD Updates Improve Syntax-based NMT—0
Dynamic Sentence Sampling for Efficient Training of Neural Machine Translation—0
A fine-grained error analysis of NMT, SMT and RBMT output for English-to-Dutch—0
Training and Adapting Multilingual NMT for Less-resourced and Morphologically Rich LanguagesCode0
Accelerating NMT Batched Beam Decoding with LMBR Posteriors for Deployment—0
Subword Regularization: Improving Neural Network Translation Models with Multiple Subword CandidatesCode0
Show:102550
← PrevPage 31 of 36Next →

No leaderboard results yet.