Co-occurring keywords · papers mentioning both
Papers
Creating a Corpus for Russian Data-to-Text Generation Using Neural Machine Translation and Post-Editing
ACL 2019
Cross-Corpora Evaluation and Analysis of Grammatical Error Correction Models — Is Single-Corpus Evaluation Enough?
NAACL 2019
CUED@WMT19:EWC&LMs
ACL 2019
CUNI Submission for Low-Resource Languages in WMT News 2019
ACL 2019
CUNI System for the Building Educational Applications 2019 Shared Task: Grammatical Error Correction
ACL 2019
CUNI System for the WMT19 Robustness Task
ACL 2019
Curriculum Learning for Domain Adaptation in Neural Machine Translation
NAACL 2019
Customizing Neural Machine Translation for Subtitling
ACL 2019
CVIT’s submissions to WAT-2019
EMNLP 2019
Data augmentation using back-translation for context-aware neural machine translation
EMNLP 2019
Deep Reinforcement Learning for Syntactic Error Repair in Student Programs
AAAI 2019
Demonstration of a Neural Machine Translation System with Online Learning for Translators
ACL 2019
Depth Growing for Neural Machine Translation
ACL 2019
DFKI-NMT Submission to the WMT19 News Translation Task
ACL 2019
Differentiable Sampling with Flexible Reference Word Order for Neural Machine Translation
NAACL 2019
Domain Adaptation of Neural Machine Translation by Lexicon Induction
ACL 2019
Domain Adaptive Inference for Neural Machine Translation
ACL 2019
Domain Differential Adaptation for Neural Machine Translation
EMNLP 2019
DTMT: A Novel Deep Transition Architecture for Neural Machine Translation
AAAI 2019
Dynamically Composing Domain-Data Selection with Clean-Data Selection by “Co-Curricular Learning” for Neural Machine Translation
ACL 2019
Dynamic Layer Aggregation for Neural Machine Translation with Routing-by-Agreement
AAAI 2019
Dynamic Past and Future for Neural Machine Translation
EMNLP 2019
Effective Adversarial Regularization for Neural Machine Translation
ACL 2019
Effective Cross-lingual Transfer of Neural Machine Translation Models without Shared Vocabularies
ACL 2019
Efficiency through Auto-Sizing: Notre Dame NLP’s Submission to the WNGT 2019 Efficiency Task
EMNLP 2019