A survey on security, privacy, and trust in mobile crowdsourcing

W Feng, Z Yan, H Zhang, K Zeng… - IEEE Internet of …, 2017 - ieeexplore.ieee.org
With the popularity of sensor-rich mobile devices (eg, smart phones and wearable devices),
mobile crowdsourcing (MCS) has emerged as an effective method for data collection and …

Post-editing of machine translation

LN Vieira - The Routledge handbook of translation and technology, 2019 - taylorfrancis.com
This chapter analyses the evolutionary process that human post-editing of Machine
Translation (MT) output has undergone in previous years. It is well known that post-editing …

The impact of crowdsourcing and online collaboration in professional translation: Charting the future of translation?

MA Jiménez-Crespo - Babel, 2021 - jbe-platform.com
The emergence of crowdsourcing has opened up novel ways to initiate, produce and deliver
translations in our digitally connected world. New practices and processes brought up by …

Reinforcement learning for bandit neural machine translation with simulated human feedback

K Nguyen, H Daumé III, J Boyd-Graber - ar** AI agents with effective, human-compatible communication capabilities is pivotal
to enabling them to effectively serve and aid humans. On one hand, agents should …

Hybrid human-machine information systems for data classification

S Shabani - 2023 - edoc.unibas.ch
Over the last decade, we have seen an intense development of machine learning
approaches for solving various tasks in diverse domains. Despite the remarkable …