Proceedings

High Performance Natural Language Processing on Semantic Network Array Processor

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Proceedings of the Twelfth International Joint Conference on Artificial Intelligence. Natural Language. Pages 911-916.

Abstract

This paper describes a natural language processing system developed for the Semantic Network Array Processor (SNAP). The goal of our work is to develop a scalable and high-performance natural language processing system which utilizes the high degree of parallelism provided by the SNAP machine. We have implemented an experimental machine translation system as a central part of a realtime speech-to-speech dialogue translation system. It is a SNAP version of the ~DMDIALOG speech-tospeech translation system. Memory-based natural language processing and syntactic constraint network model has been incorporated using parallel marker-passing which is directly supported from hardware level. Experimental results demonstrate that the parsing of a sentence is done in the order of milliseconds.

Hiroaki Kitano, Dan I. Moldovan, and Seungho Cha. 1991. High Performance Natural Language Processing on Semantic Network Array Processor. In Proceedings of the Twelfth International Joint Conference on Artificial Intelligence, IJCAI-91. IJCAI, 911–916. https://ijcai.org/proceedings/1991/134
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