Vietnamese Analysis plugin integrates Vietnamese language analysis into Elasticsearch. It uses C++ tokenizer for Vietnamese library developed by CocCoc team for their Search Engine and Ads systems.
The plugin provides vi_analyzer
analyzer, vi_tokenizer
tokenizer and vi_stop
stop filter. The vi_analyzer
is composed of the vi_tokenizer
tokenizer, stop
and lowercase
filter.
GET _analyze
{
"analyzer": "vi_analyzer",
"text": "Cộng hòa Xã hội chủ nghĩa Việt Nam"
}
The above sentence would produce the following terms:
["cộng hòa", "xã hội", "chủ nghĩa" ,"việt nam"]
The vi_analyzer
analyzer accepts the following parameters:
-
dict_path
The path to tokenizer dictionary on system. Defaults to/usr/local/share/tokenizer/dicts
. -
keep_punctuation
Keep punctuation marks as tokens. Defaults tofalse
. -
split_url
If it's enabled (true
), a domainduydo.me
is split into["duy", "do", "me"]
. If it's disabled (false
)duydo.me
is split into["duydo", "me"]
. Defaults tofalse
. -
stopwords
A pre-defined stop words list like_vi_
or an array containing a list of stop words. Defaults to stopwords.txt file. -
stopwords_path
The path to a file containing stop words.
In this example, we configure the vi_analyzer
analyzer to keep punctuation marks and to use the custom list of stop words:
PUT my-vi-index-00001
{
"settings": {
"analysis": {
"analyzer": {
"my_vi_analyzer": {
"type": "vi_analyzer",
"keep_punctuation": true,
"stopwords": ["rất", "những"]
}
}
}
}
}
GET my-vi-index-00001/_analyze
{
"analyzer": "my_vi_analyzer",
"text": "Công nghệ thông tin Việt Nam rất phát triển trong những năm gần đây."
}
The above example produces the following terms:
["công nghệ", "thông tin", "việt nam", "phát triển", "trong", "năm", "gần đây", "."]
We can also create a custom analyzer with the vi_tokenizer
. In following example, we create my_vi_analyzer
to produce
both diacritic and no diacritic tokens in lowercase:
PUT my-vi-index-00002
{
"settings": {
"analysis": {
"analyzer": {
"my_vi_analyzer": {
"tokenizer": "vi_tokenizer",
"filter": [
"lowercase",
"ascii_folding"
]
}
},
"filter": {
"ascii_folding": {
"type": "asciifolding",
"preserve_original": true
}
}
}
}
}
GET my-vi-index-00002/_analyze
{
"analyzer": "my_vi_analyzer",
"text": "Cộng hòa Xã hội chủ nghĩa Việt Nam"
}
The above example produces the following terms:
["cong hoa", "cộng hòa", "xa hoi", "xã hội", "chu nghia", "chủ nghĩa", "viet nam", "việt nam"]
git clone https://github.com/coccoc/coccoc-tokenizer.git
cd coccoc-tokenizer && mkdir build && cd build
cmake -DBUILD_JAVA=1 ..
make install
By default, the make install
installs:
- the lib commands (
tokenizer
,dict_compiler
andvn_lang_tool
) under/usr/local/bin
- the dynamic lib (
libcoccoc_tokenizer_jni.so
) under/usr/local/lib/
. The plugin uses this lib directly. - the dictionary files under
/usr/local/share/tokenizer/dicts
. The plugin uses this path fordict_path
by default.
Refer the repo for more information to build the library.
Clone the plugin’s source code:
git clone https://github.com/duydo/elasticsearch-analysis-vietnamese.git
Optionally, edit the elasticsearch-analysis-vietnamese/pom.xml
to change the version of Elasticsearch (same as plugin version) you want to build the plugin with:
...
<version>7.17.1</version>
...
Build the plugin:
cd elasticsearch-analysis-vietnamese
mvn package
bin/elasticsearch-plugin install file://target/releases/elasticsearch-analysis-vietnamese-7.17.1.zip
From v7.12.11, the plugin uses CocCoc C++ tokenizer instead of the VnTokenizer by Lê Hồng Phương, I don't maintain the plugin with the VnTokenizer anymore, if you want to continue developing with it, refer the branch vntokenizer.
Vietnamese Analysis Plugin | Elasticsearch |
---|---|
master | 7.16 ~ 7.17.1 |
7.12.1 | 7.12.1 ~ 7.15.x |
7.3.1 | 7.3.1 |
5.6.5 | 5.6.5 |
5.4.1 | 5.4.1 |
5.3.1 | 5.3.1 |
5.2.1 | 5.2.1 |
2.4.1 | 2.4.1 |
2.4.0 | 2.4.0 |
2.3.5 | 2.3.5 |
2.3.4 | 2.3.4 |
2.3.3 | 2.3.3 |
2.3.2 | 2.3.2 |
2.3.1 | 2.3.1 |
2.3.0 | 2.3.0 |
0.2.2 | 2.2.0 |
0.2.1.1 | 2.1.1 |
0.2.1 | 2.1.0 |
0.2 | 2.0.0 |
0.1.7 | 1.7+ |
0.1.6 | 1.6+ |
0.1.5 | 1.5+ |
0.1.1 | 1.4+ |
0.1 | 1.3 |
You might get errors during starting Elasticsearch with the plugin
1. Error: java.lang.UnsatisfiedLinkError: no libcoccoc_tokenizer_jni in java.library.path ... (reported in 102)
It happens because of your JVM cannot find the dynamic lib libcoccoc_tokenizer_jni
in java.library.path
, try to resolve by doing one of following options:
- Appending
/usr/local/lib
into environment variableLD_LIBRARY_PATH
:
export LD_LIBRARY_PATH=/usr/local/lib:$LD_LIBRARY_PATH
- Making a symbolic link or copying the file
/usr/local/lib/libcoccoc_tokenizer_jni.so
to/usr/lib
:
# Make link
ln -sf /usr/local/lib/libcoccoc_tokenizer_jni.so /usr/lib/libcoccoc_tokenizer_jni.so
# Copy
cp /usr/local/lib/libcoccoc_tokenizer_jni.so /usr/lib
2. Error: Cannot initialize Tokenizer: /usr/local/share/tokenizer/dicts (reported in 106)
It happens because of the tokenizer cannot find the dictionary files under /usr/local/share/tokenizer/dicts
.
Ensure the path /usr/local/share/tokenizer/dicts
existed and includes those files: alphabetic, i_and_y.txt, nontone_pair_freq_map.dump, syllable_trie.dump
d_and_gi.txt, multiterm_trie.dump, numeric. If not, try to build the C++ tokenizer (Step 1) again.
- JetBrains has provided a free license for IntelliJ IDEA.
- CocCoc team has provided their C++ Vietnamese tokenizer library as open source.
This software is licensed under the Apache 2 license, quoted below.
Copyright by Duy Do
Licensed under the Apache License, Version 2.0 (the "License"); you may not
use this file except in compliance with the License. You may obtain a copy of
the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
License for the specific language governing permissions and limitations under
the License.