Dynamic programming matching for large scale information retrieval

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Abstract

Though dynamic programming matching can carry out approximate string matching when there may be deletions or insertions in a document, its effectiveness and efficiency are usually too poor to use it for large-scale information retrieval. In this paper, we propose a method of dynamic programming matching for information retrieval. This method is as effective as a conventional information retrieval system, even though it is capable of approximate matching. It is also as efficient as a conventional system.

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Yamamoto, E., Kishida, M., Takenami, Y., Takeda, Y., & Umemura, K. (2003). Dynamic programming matching for large scale information retrieval. In Proceedings of the 6th International Workshop on Information Retrieval with Asian Languages, IRAL 2003 (pp. 100–108). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1118935.1118948

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