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Design of a language-independent parallel string matching unit for NLP

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3 Author(s)
Murty, V.S. ; Dept. of Comput. Sci. & Eng., Indian Inst. of Technol., Madras ; Reghu Raj, P.C. ; Raman, S.

In natural language processing applications, string matching is the main time-consuming operation due to the large size of lexicon. Data dependence is minimal in string matching operations, and hence it is ideal for parallelization. A dedicated hardware for string matching that uses memory interleaving and parallel processing techniques can relieve the host CPU from this burden, thereby making the system suitable for real-time applications. This paper reports the FPGA design of such a system with m parallel matching units. The time complexity of the proposed algorithm is O (log2 n), where n is the total number of lexical entries. This has been achieved by a proper selection of the value of m. A special memory organization technique, which reduces the storage space by nearly 70%, has been adopted for storing lexical entries. The techniques used for matching and storage of lexical entries make the system language independent

Published in:

Computer Architectures for Machine Perception, 2003 IEEE International Workshop on

Date of Conference:

12-16 May 2003