commit | 4c09c24773cbc646531ebeeb6c0333b700a8607d | [log] [tgz] |
---|---|---|
author | android-build-prod (mdb) <android-build-team-robot@google.com> | Fri Jan 29 07:31:39 2021 +0000 |
committer | android-build-prod (mdb) <android-build-team-robot@google.com> | Fri Jan 29 07:31:39 2021 +0000 |
tree | 2dc65405d7c37fba212bd9a73417138270dbcd5f | |
parent | 4dc2729a1cbfb01e11b1429ce81d59413c33b405 [diff] | |
parent | 2755ec422c78ca5f5a7a7ef3bee0d571546e9acb [diff] |
Snap for 7110675 from 2755ec422c78ca5f5a7a7ef3bee0d571546e9acb to sdk-release Change-Id: Ibe5970065410a9303d9fbf11cbc0793ea7ee3ce3
marisa-trie
MARISA: Matching Algorithm with Recursively Implemented StorAge
0.2.6
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.
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.
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 |
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