CADET: Computer Assisted Discovery Extraction and Translation
Computer Assisted Discovery Extraction and Translation (CADET) is a workbench for helping knowledge workers find, label, and translate documents of interest. It combines a multitude of analytics together with a flexible environment for customizing the workflow for different users. This open-source framework allows for easy development of new research prototypes using a micro-service architecture based atop Docker and Apache Thrift.
Code (0)
등록된 구현이 없습니다.
Tasks
Active LearningMachine TranslationTranslationSimilar Papers 제목 키워드 기반
CADET: A Modular Platform for Evaluating Distributed Cooperative Autonomy in Connected Autonomous Vehicles
Deep learning models are increasingly central to autonomous vehicle (AV) pipelines, yet their integration has traditionally followed a monolithic design where perception, planning, and control execute on a single onboard…
Autonomous VehiclesAn Expert System Approach for determine the stage of UiTM Perlis Palapes Cadet Performance and Ranking Selection
The palapes cadets are one of the uniform organizations in UiTM Perlis for extra-curricular activities. The palapes cadets arrange their organization in a hierarchy according to grade. Senior uniform officer (SUO) is the…
Image Analytics for Legal Document Review: A Transfer Learning Approach
Though technology assisted review in electronic discovery has been focusing on text data, the need of advanced analytics to facilitate reviewing multimedia content is on the rise. In this paper, we present several applic…
Clusteringimage-classificationImage ClassificationImage Clustering+3Content Translation: Computer assisted translation tool for Wikipedia articles
Content Translation: Computer-assisted translation tool for Wikipedia articles
The quality and quantity of articles in each Wikipedia language varies greatly. Translating from another Wikipedia is a natural way to add more content, but the translation process is not properly supported in the softwa…
ArticlesTranslation