@inproceedings{kitano-etal-1991-toward,
title = "Toward High Performance Machine Translation: Preliminary Results from Massively Parallel Memory-Based Translation on {SNAP}",
author = "Kitano, Hiroaki and
Moldovan, Dan and
Cha, Seungho",
booktitle = "Proceedings of Machine Translation Summit III: Papers",
month = jul # " 1-4",
year = "1991",
address = "Washington DC, USA",
url = "https://aclanthology.org/1991.mtsummit-papers.15",
pages = "93--100",
abstract = "This paper describes a memory-based machine translation system developed for the Semantic Net- work Array Processor (SNAP). The goal of our work is to develop a scalable and high-performance memory-based machine translation system which utilizes the high degree of parallelism provided by the SNAP machine. We have implemented an experimental machine translation system DMSNAP as a central part of a real-time speech-to-speech dia- logue translation system. It is a SNAP version of the ΦDMDIALOG speech-to-speech 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.",
}
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<abstract>This paper describes a memory-based machine translation system developed for the Semantic Net- work Array Processor (SNAP). The goal of our work is to develop a scalable and high-performance memory-based machine translation system which utilizes the high degree of parallelism provided by the SNAP machine. We have implemented an experimental machine translation system DMSNAP as a central part of a real-time speech-to-speech dia- logue translation system. It is a SNAP version of the ΦDMDIALOG speech-to-speech 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.</abstract>
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%0 Conference Proceedings
%T Toward High Performance Machine Translation: Preliminary Results from Massively Parallel Memory-Based Translation on SNAP
%A Kitano, Hiroaki
%A Moldovan, Dan
%A Cha, Seungho
%S Proceedings of Machine Translation Summit III: Papers
%D 1991
%8 jul 1 4
%C Washington DC, USA
%F kitano-etal-1991-toward
%X This paper describes a memory-based machine translation system developed for the Semantic Net- work Array Processor (SNAP). The goal of our work is to develop a scalable and high-performance memory-based machine translation system which utilizes the high degree of parallelism provided by the SNAP machine. We have implemented an experimental machine translation system DMSNAP as a central part of a real-time speech-to-speech dia- logue translation system. It is a SNAP version of the ΦDMDIALOG speech-to-speech 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.
%U https://aclanthology.org/1991.mtsummit-papers.15
%P 93-100
Markdown (Informal)
[Toward High Performance Machine Translation: Preliminary Results from Massively Parallel Memory-Based Translation on SNAP](https://aclanthology.org/1991.mtsummit-papers.15) (Kitano et al., MTSummit 1991)
ACL