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Showing 51–82 of 82 papers

TitleStatusHype
Structured in Space, Randomized in Time: Leveraging Dropout in RNNs for Efficient Training—0
Embedding-Enhanced Giza++: Improving Alignment in Low- and High- Resource Scenarios Using Embedding Space GeometryCode0
OmniNet: Omnidirectional Representations from TransformersCode0
Predictive Attention Transformer: Improving Transformer with Attention Map Prediction—0
The University of Edinburgh-Uppsala University’s Submission to the WMT 2020 Chat Translation Task—0
Vocabulary Adaptation for Domain Adaptation in Neural Machine TranslationCode0
Pronoun-Targeted Fine-tuning for NMT with Hybrid LossesCode0
On the Sub-Layer Functionalities of Transformer Decoder—0
Learn to Talk via Proactive Knowledge Transfer—0
On the Importance of Local Information in Transformer Based Models—0
Task-Level Curriculum Learning for Non-Autoregressive Neural Machine Translation—0
Improving Autoregressive NMT with Non-Autoregressive Model—0
Addressing Posterior Collapse with Mutual Information for Improved Variational Neural Machine Translation—0
Character-level Transformer-based Neural Machine Translation—0
Vocabulary Adaptation for Distant Domain Adaptation in Neural Machine Translation—0
AR: Auto-Repair the Synthetic Data for Neural Machine Translation—0
Normalization of Input-output Shared Embeddings in Text Generation Models—0
Self-Adaptive Scaling for Learnable Residual Structure—0
Monash University's Submissions to the WNGT 2019 Document Translation Task—0
Proactive Sequence Generator via Knowledge Acquisition—0
Hint-Based Training for Non-Autoregressive Machine TranslationCode0
Exploring Adequacy Errors in Neural Machine Translation with the Help of Cross-Language Aligned Word Embeddings—0
Johns Hopkins University Submission for WMT News Translation Task—0
The RWTH Aachen University Machine Translation Systems for WMT 2019—0
Findings of the WMT 2019 Biomedical Translation Shared Task: Evaluation for MEDLINE Abstracts and Biomedical Terminologies—0
Hint-based Training for Non-Autoregressive Translation—0
STACL: Simultaneous Translation with Implicit Anticipation and Controllable Latency using Prefix-to-Prefix FrameworkCode0
The Samsung and University of Edinburgh’s submission to IWSLT17—0
LIG-CRIStAL System for the WMT17 Automatic Post-Editing Task—0
The University of Edinburgh’s systems submission to the MT task at IWSLT—0
Fully Character-Level Neural Machine Translation without Explicit SegmentationCode0
On Using Monolingual Corpora in Neural Machine Translation—0
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