Locally Consistent Parsing and Applications to Approximate String Comparisons
نویسندگان
چکیده
Locally consistent parsing (LCP) is a context sensitive partitioning method which achieves partition consistency in (almost) linear time. When iteratively applied, LCP followed by consistent block labeling provides a powerful tool for processing strings for a multitude of problems. In this paper we summarize applications of LCP in approximating well known distance measures between pairs of strings in (almost) linear
منابع مشابه
Fast Approximate String Matching with Suffix Arrays and A* Parsing
We present a novel exact solution to the approximate string matching problem in the context of translation memories, where a text segment has to be matched against a large corpus, while allowing for errors. We use suffix arrays to detect exact n-gram matches, A* search heuristics to discard matches and A* parsing to validate candidate segments. The method outperforms the canonical baseline by a...
متن کاملOnline Pattern Matching for String Edit Distance with Moves
Edit distance with moves (EDM) is a string-to-string distance measure that includes substring moves in addition to ordinal editing operations to turn one string to the other. Although optimizing EDM is intractable, it has many applications especially in error detections. Edit sensitive parsing (ESP) is an efficient parsing algorithm that guarantees an upper bound of parsing discrepancies betwee...
متن کاملParallel Algorithms for String Matching Problem on Single and Two Dimensional Reconfigurable Pipelined Bus Systems
We considered string matching on LARPBS and 2D LARPBS. This has applications such as string databases, cellular automata and computational biology. The main use of this method is to reduce the time spent on comparisons in string matching by using LARPBS. We investigated exact string matching and approximate string matching problems. For these two sub problems, we obtained O (n) bus cycles algor...
متن کاملA Fast Algorithm for Approximate String Matching on Gene Sequences
Approximate string matching is a fundamental and challenging problem in computer science, for which a fast algorithm is highly demanded in many applications including text processing and DNA sequence analysis. In this paper, we present a fast algorithm for approximate string matching, called FAAST. It aims at solving a popular variant of the approximate string matching problem, the k-mismatch p...
متن کامل