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Ternary Directed Acyclic Word Graphs

Satoru Miyamoto, Shunsuke Inenaga, Masayuki Takeda and Ayumi Shinohara

Presented at Eighth International Conference on Implementation and Application of Automata (CIAA 2003), July 16-18, 2003 Santa Barbara, CA, USA


Abstract

Given a set $S$ of strings, a DFA accepting $S$ offers a very time-efficient solution to the pattern matching problem over $S$. The key is how to implement such a DFA in the trade-off between time and space, especially the choice of how to implement the transitions of each state is critical. Bentley and Sedgewick proposed an effective tree structure called {\em ternary trees}. The idea of ternary trees is to `implant' the process of binary search for transitions into the structure of the trees themselves. This way the process of binary search becomes visible, and the implementation of the trees becomes quite easy. The {\em directed acyclic word graph} ({\em DAWG}) of a string $w$ is the smallest DFA that accepts all suffixes of $w$, and requires only linear space. We apply the scheme of ternary trees to DAWGs, introducing a new data structure named {\em ternary DAWGs} ({\em TDAWGs}). We perform some experiments that show the efficiency of TDAWGs, compared to DAWGs in which transitions are implemented by tables and linked lists.