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Introducing Scalable Quantum Approaches in Language Representation
University of Borås, Swedish School of Library and Information Science.
University of Borås, Swedish School of Library and Information Science.
2011 (English)Conference paper (Refereed)
Abstract [en]

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 quantum environments.

Place, publisher, year, edition, pages
Springer , 2011.
Keyword [en]
quantum-like theories, quantum interaction, high-performance computing, gpgpu-computing, mapreduce
Keyword [sv]
text mining
National Category
Information Studies Computer and Information Science Language Technology (Computational Linguistics)
Research subject
Library and Information Science
URN: urn:nbn:se:hb:diva-6662Local ID: 2320/9694ISBN: 978-3-642-24970-9OAI: diva2:887361
QI-11, 5th International Quantum Interaction Symposium, Aberdeen, June, 2011.
Available from: 2015-12-22 Created: 2015-12-22

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Wittek, PeterDarányi, Sándor
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