paper-with-me

홈 › Papers

Plugging into Trados: Augmenting Translation in the Enclave

2020-10-01 · AMTA 2020 10 · Corey Miller, Chiara Higgins, Paige Havens, Steven Van Guilder, Rodney Morris, Danielle Silverman
📄 PDF Abstract BibTeX

Code (0)

등록된 구현이 없습니다.

Tasks

Translation

Similar Papers 제목 키워드 기반

Trados-to-Translog-II: Adding Gaze and Qualitivity data to the CRITT TPR-DB

2022-06-01 · EAMT 2022 6 · Masaru Yamada, Takanori Mizowaki, Longhui Zou, Michael Carl

The CRITT (Center for Research and Innovation in Translation and Translation Technology) provides a Translation Process Research Database (TPR-DB) and a rich set of summary tables and tools that help to investigate trans…

Translation

Demonstration of a Neural Machine Translation System with Online Learning for Translators

2019-06-21 · ACL 2019 7 · Miguel Domingo, Mercedes García-Martínez, Amando Estela, Laurent Bié 외

We introduce a demonstration of our system, which implements online learning for neural machine translation in a production environment. These techniques allow the system to continuously learn from the corrections provid…

Machine TranslationTranslation

Scalable Memory Protection in the PENGLAI Enclave

2021-07-14 · OSDI 2021 7 · Erhu Feng, Xu Lu, Dong Du, Bicheng Yang 외

Secure hardware enclaves have been widely used for protecting security-critical applications in the cloud. However, existing enclave designs fail to meet the requirements of scalability demanded by new scenarios like ser…

CPU

Serdab: An IoT Framework for Partitioning Neural Networks Computation across Multiple Enclaves

2020-05-12 · Tarek Elgamal, Klara Nahrstedt

Recent advances in Deep Neural Networks (DNN) and Edge Computing have made it possible to automatically analyze streams of videos from home/security cameras over hierarchical clusters that include edge devices, close to …

Edge-computing

Towards a trustworthy, secure and reliable enclave for machine learning in a hospital setting: The Essen Medical Computing Platform (EMCP)

2022-01-13 · Hendrik F. R. Schmidt, Jörg Schlötterer, Marcel Bargull, Enrico Nasca 외

AI/Computing at scale is a difficult problem, especially in a health care setting. We outline the requirements, planning and implementation choices as well as the guiding principles that led to the implementation of our …