Introducing Scalable Quantum Approaches in Language Representation
2011 (English)Conference paper (Refereed)
High-performance computational resources and distributed
systems are crucial for the success of real-world language technology applications.
The novel paradigm of general-purpose computing on graphics
processors (GPGPU) o ers a feasible and economical alternative: it
has already become a common phenomenon in scienti c computation,
with many algorithms adapted to the new paradigm. However, applications
in language technology do not readily adapt to this approach.
Recent advances show the applicability of quantum metaphors in language
representation, and many algorithms in quantum mechanics have
already been adapted to GPGPU computing. SQUALAR aims to match
quantum algorithms with heterogeneous computing to develop new formalisms
of information representation for natural language processing in
Place, publisher, year, edition, pages
Springer , 2011.
quantum-like theories, quantum interaction, high-performance computing, gpgpu-computing, mapreduce
Information Studies Computer and Information Science Language Technology (Computational Linguistics)
Research subject Library and Information Science
IdentifiersURN: urn:nbn:se:hb:diva-6662Local ID: 2320/9694ISBN: 978-3-642-24970-9OAI: oai:DiVA.org:hb-6662DiVA: diva2:887361
QI-11, 5th International Quantum Interaction Symposium, Aberdeen, June, 2011.