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 1001–1050 of 1773 papers

TitleStatusHype
Scaling Laws for Neural Machine Translation—0
Search Engine Guided Non-Parametric Neural Machine Translation—0
Secoco: Self-Correcting Encoding for Neural Machine Translation—0
Segment-Based Interactive Machine Translation for Pre-trained Models—0
Selecting Artificially-Generated Sentences for Fine-Tuning Neural Machine Translation—0
Selecting the best data filtering method for NMT training—0
Self-Guided Curriculum Learning for Neural Machine Translation—0
Self-Induced Curriculum Learning in Neural Machine Translation—0
Self-Learning for Zero Shot Neural Machine Translation—0
SelfSeg: A Self-supervised Sub-word Segmentation Method for Neural Machine Translation—0
Self-supervised and Supervised Joint Training for Resource-rich Machine Translation—0
Self-Supervised Curriculum Learning for Spelling Error Correction—0
Semantic Diversity by Phonetics for Accurate and Robust Machine Translation—0
SemFace: Pre-training Encoder and Decoder with a Semantic Interface for Neural Machine Translation—0
Semi-Supervised Learning for Neural Machine Translation—0
Semi-supervised Neural Machine Translation with Consistency Regularization for Low-Resource Languages—0
Semi-Supervised Text Simplification with Back-Translation and Asymmetric Denoising Autoencoders—0
Sentence Boundary Augmentation For Neural Machine Translation Robustness—0
Sentence Concatenation Approach to Data Augmentation for Neural Machine Translation—0
Sentence Embedding for Neural Machine Translation Domain Adaptation—0
Sentence-Level Agreement for Neural Machine Translation—0
Sentence-Level Multilingual Multi-modal Embedding for Natural Language Processing—0
SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing—0
Sentiment Aware Neural Machine Translation—0
Sentiment Perception Adversarial Attacks on Neural Machine Translation Systems—0
Sequence-to-Dependency Neural Machine Translation—0
Shared-Private Bilingual Word Embeddings for Neural Machine Translation—0
Sheffield Submissions for WMT18 Multimodal Translation Shared Task—0
Shiksha: A Technical Domain focused Translation Dataset and Model for Indian Languages—0
SIGMORPHON 2020 Task 0 System Description: ETH Z\"urich Team—0
Sign Language Translation with Hierarchical Spatio-TemporalGraph Neural Network—0
Similar Language Translation for Catalan, Portuguese and Spanish Using Marian NMT—0
Simpler and Faster Learning of Adaptive Policies for Simultaneous Translation—0
Simple, Scalable Adaptation for Neural Machine Translation—0
Simul-LLM: A Framework for Exploring High-Quality Simultaneous Translation with Large Language Models—0
SimulSpeech: End-to-End Simultaneous Speech to Text Translation—0
Simultaneous Multi-Pivot Neural Machine Translation—0
SIT at MixMT 2022: Fluent Translation Built on Giant Pre-trained Models—0
SJTU-NICT's Supervised and Unsupervised Neural Machine Translation Systems for the WMT20 News Translation Task—0
SJTU-NICT’s Supervised and Unsupervised Neural Machine Translation Systems for the WMT20 News Translation Task—0
Skeletal Graph Self-Attention: Embedding a Skeleton Inductive Bias into Sign Language Production—0
SMDT: Selective Memory-Augmented Neural Document Translation—0
SMT reranked NMT—0
SMT reranked NMT (2)—0
SMT versus NMT: Preliminary comparisons for Irish—0
SMT vs NMT: A Comparison over Hindi & Bengali Simple Sentences—0
Sockeye 2: A Toolkit for Neural Machine Translation—0
Sockeye 3: Fast Neural Machine Translation with PyTorch—0
Softmax Tempering for Training Neural Machine Translation Models—0
Sometimes We Want Translationese—0
Show:102550
← PrevPage 21 of 36Next →

No leaderboard results yet.