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20112022
most citedLCP-dropout: Compression-based Multiple Subword Segmentation for Neural Machine Translation

19 citations · 59 across the 13 of their papers we have counts for

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cs.DS2019

Practical Random Access to SLP-Compressed Texts

Travis Gagie, Tomohiro I, Giovanni Manzini +4

Grammar-based compression is a popular and powerful approach to compressing repetitive texts but until recently its relatively poor time-space trade-offs during real-life construct…

cs.DS2019

Rpair: Rescaling RePair with Rsync

Travis Gagie, Tomohiro I, Giovanni Manzini +3

Data compression is a powerful tool for managing massive but repetitive datasets, especially schemes such as grammar-based compression that support computation over the data withou…

cs.DS2018★ 1 cited

RePair in Compressed Space and Time

Kensuke Sakai, Tatsuya Ohno, Keisuke Goto +3

Given a string of length , the goal of grammar compression is to construct a small context-free grammar generating only . Among existing grammar compression methods, RePa…

cs.DS2017

A Faster Implementation of Online Run-Length Burrows-Wheeler Transform

Tatsuya Ohno, Yoshimasa Takabatake, Tomohiro I +1

Run-length encoding Burrows-Wheeler Transformed strings, resulting in Run-Length BWT (RLBWT), is a powerful tool for processing highly repetitive strings. We propose a new algorith…

cs.DS2016★ 6 cited

Online Grammar Compression for Frequent Pattern Discovery

Shouhei Fukunaga, Yoshimasa Takabatake, I Tomohiro +1

Various grammar compression algorithms have been proposed in the last decade. A grammar compression is a restricted CFG deriving the string deterministically. An efficient grammar…

cs.DS2016★ 1 cited

siEDM: an efficient string index and search algorithm for edit distance with moves

Yoshimasa Takabatake, Kenta Nakashima, Tetsuji Kuboyama +2

Although several self-indexes for highly repetitive text collections exist, developing an index and search algorithm with editing operations remains a challenge. Edit distance with…