Digital activism in Asia reader

The digital turn might as well be marked as an Asian turn. From flash-mobs in Taiwan to feminist mobilisations in India, from hybrid media strategies of Syrian activists to cultural protests in Thailand, we see the emergence of political acts that transform the citizen from being a beneficiary of change to becoming an agent of change. In co-shaping these changes, what the digital shall be used for, and what its consequences will be, are both up for speculation and negotiation. Digital Activism in Asia marks a particular shift where these questions are no longer being refracted through the ICT4D logic, or the West’s attempts to save Asia from itself, but shaped by multiplicity, unevenness, and urgencies of digital sites and users in Asia. This reader crowd-sources critical tools, concepts, analyses, and annotations, self-identified by a network of change makers in Asia as important in their own practices within their own contexts

CHORUS Deliverable 2.1: State of the Art on Multimedia Search Engines

Based on the information provided by European projects and national initiatives related to multimedia search as well as domains experts that participated in the CHORUS Think-thanks and workshops, this document reports on the state of the art related to multimedia content search from, a technical, and socio-economic perspective. The technical perspective includes an up to date view on content based indexing and retrieval technologies, multimedia search in the context of mobile devices and peer-to-peer networks, and an overview of current evaluation and benchmark inititiatives to measure the performance of multimedia search engines. From a socio-economic perspective we inventorize the impact and legal consequences of these technical advances and point out future directions of research

A Peer-reviewed Newspaper About_ Excessive Research

Research on machines, research with machines, and research as a machine. Publication resulting from research workshop at Exhibition Research Lab, Liverpool John Moores University, organised in collaboration with Liverpool John Moores University and Liverpool Biennial, and transmediale festival for art and digital culture, Berlin

Low-Resource Unsupervised NMT:Diagnosing the Problem and Providing a Linguistically Motivated Solution

Unsupervised Machine Translation hasbeen advancing our ability to translatewithout parallel data, but state-of-the-artmethods assume an abundance of mono-lingual data. This paper investigates thescenario where monolingual data is lim-ited as well, finding that current unsuper-vised methods suffer in performance un-der this stricter setting. We find that theperformance loss originates from the poorquality of the pretrained monolingual em-beddings, and we propose using linguis-tic information in the embedding train-ing scheme. To support this, we look attwo linguistic features that may help im-prove alignment quality: dependency in-formation and sub-word information. Us-ing dependency-based embeddings resultsin a complementary word representationwhich offers a boost in performance ofaround 1.5 BLEU points compared to stan-dardWORD2VECwhen monolingual datais limited to 1 million sentences per lan-guage. We also find that the inclusion ofsub-word information is crucial to improv-ing the quality of the embedding