jianglk.darker
7ee447c011
|
4 months ago | |
---|---|---|
.. | ||
bindings | 4 months ago | |
docs | 4 months ago | |
include | 4 months ago | |
lib | 4 months ago | |
tests | 4 months ago | |
tools | 4 months ago | |
vs2008 | 4 months ago | |
AUTHORS | 4 months ago | |
Android.bp | 4 months ago | |
COPYING.md | 4 months ago | |
LICENSE | 4 months ago | |
METADATA | 4 months ago | |
MODULE_LICENSE_BSD | 4 months ago | |
Makefile.am | 4 months ago | |
README.md | 4 months ago | |
configure.ac | 4 months ago | |
marisa.pc.in | 4 months ago |
README.md
README
Project name
marisa-trie
Project summary
MARISA: Matching Algorithm with Recursively Implemented StorAge
Latest version
0.2.6
Description
Matching Algorithm with Recursively Implemented StorAge (MARISA) is a static and space-efficient trie data structure. And libmarisa is a C++ library to provide an implementation of MARISA. Also, the package of libmarisa contains a set of command line tools for building and operating a MARISA-based dictionary.
A MARISA-based dictionary supports not only lookup but also reverse lookup, common prefix search and predictive search.
- Lookup is to check whether or not a given string exists in a dictionary.
- Reverse lookup is to restore a key from its ID.
- Common prefix search is to find keys from prefixes of a given string.
- Predictive search is to find keys starting with a given string.
The biggest advantage of libmarisa is that its dictionary size is considerably more compact than others. See below for the dictionary size of other implementations.
- Input
- Source: enwiki-20121101-all-titles-in-ns0.gz
- Contents: all page titles of English Wikipedia (Nov. 2012)
- Number of keys: 9,805,576
- Total size: 200,435,403 bytes (plain) / 54,933,690 bytes (gzipped)
Implementation | Size (bytes) | Remarks |
---|---|---|
darts-clone | 376,613,888 | Compacted double-array trie |
tx-trie | 127,727,058 | LOUDS-based trie |
marisa-trie | 50,753,560 | MARISA trie |
Documentation
- README (English): https://s-yata.github.io/marisa-trie/docs/readme.en.html
- README (Japanese): https://s-yata.github.io/marisa-trie/docs/readme.ja.html
Build instructions
You can get the latest version via git clone
. Then, you can generate a configure
script via autoreconf -i
. After that, you can build and install libmarisa and its command line tools via configure
and make
. For details, see also documentation in docs
.
$ git clone https://github.com/s-yata/marisa-trie.git
$ cd marisa-trie
$ autoreconf -i
$ ./configure --enable-native-code
$ make
$ make install
Source code license
- The BSD 2-clause License
- The LGPL 2.1 or any later version