Morphosyntactic tagger
The Morphosyntactic Tagger is a tool allowing to tag the fields "title_tokens" and "content_tokens" of the tkeir document. This tools is a rest service. Morphosyntactic tagger is based on spacy toolbox.
Morphosyntactic tagger API
Morphosyntactic tagger configuration
Example of Configuration:
{
"logger": {
"logging-level": "{{ project.loglevel }}"
},
"morphosyntax": {
"taggers":[{
"language":"en",
"resources-base-path":"{{ project.path }}/resources/modeling/tokenizer/en",
"mwe": "tkeir_mwe.pkl",
"pre-sentencizer": true,
"pre-tagging-with-concept":true,
"add-concept-in-knowledge-graph":true
}],
"network": {
"host":"0.0.0.0",
"port":10002,
"associate-environment": {
"host":"MSTAGGER_HOST",
"port":"MSTAGGER_PORT"
}
},
"runtime":{
"request-max-size":100000000,
"request-buffer-queue-size":100,
"keep-alive":true,
"keep-alive-timeout":500,
"graceful-shutown-timeout":15.0,
"request-timeout":600,
"response-timeout":600,
"workers":1
}
}
}
Morphosyntactic tagger is an aggreation of network configuration, serialize configuration, runtime configuration (in field converter), logger (at top level). The segmenter configuration is a table containing path to Multiple Word Expression entries (MWE):
- language :the language of tokenizer
- resources-base-path: the path to the resources (containing file created by tools createAnnotationResources.py
- mwe : the file containing MWE entries
Configure Morphosyntactic tagger logger
Logger is configuration at top level of json in logger field.
Example of Configuration:
The logger fields is:
- logging-level
It can be set to the following values:
- debug for the debug level and developper information
- info for the level of information
- warning to display only warning and errors
- error to display only error
- critical to display only error
Configure Morphosyntactic tagger Network
Example of Configuration:
{
"network": {
"host":"0.0.0.0",
"port":8080,
"associate-environment": {
"host":"HOST_ENVNAME",
"port":"PORT_ENVNAME"
},
"ssl":
{
"certificate":"path/to/certificate",
"key":"path/to/key"
}
}
}
The network fields:
-
host : hostname
-
port : port of the service
-
associated-environement
: default one. This field is not mandatory.
- "host" : associated "host" environment variable
-
"port" : associated "port" environment variable
-
ssl : ssl configuration IN PRODUCTION IT IS MANDATORY TO USE CERTIFICATE AND KEY THAT ARE *NOT* SELF SIGNED
-
cert : certificate file
- key : key file
Configure Morphosyntactic tagger runtime
Example of Configuration:
{
"runtime":{
"request-max-size":100000000,
"request-buffer-queue-size":100,
"keep-alive":true,
"keep-alive-timeout":5,
"graceful-shutown-timeout":15.0,
"request-timeout":60,
"response-timeout":60,
"workers":1
}
}
The Runtime fields:
-
request-max-size : how big a request may be (bytes)
-
request-buffer-queue-size: request streaming buffer queue size
-
request-timeout : how long a request can take to arrive (sec)
-
response-timeout : how long a response can take to process (sec)
-
keep-alive: keep-alive
-
keep-alive-timeout: how long to hold a TCP connection open (sec)
-
graceful-shutdown_timeout : how long to wait to force close non-idle connection (sec)
-
workers : number of workers for the service on a node
-
associated-environement : if one of previous field is on the associated environment variables that allows to replace the default one. This field is not mandatory.
-
request-max-size : overwrite with environement variable
- request-buffer-queue-size: overwrite with environement variable
- request-timeout : overwrite with environement variable
- response-timeout : overwrite with environement variable
- keep-alive: overwrite with environement variable
- keep-alive-timeout: overwrite with environement variable
- graceful-shutdown_timeout : overwrite with environement variable
- workers : overwrite with environement variable
Morphosyntactic tagger service
To run the command type simply from tkeir directory:
or if you install tkeir wheel:
A light client can be run through the command
python3 thot/mstagger_client.py --config=<path to Morphosyntactic Tagger configuration file> --input=<input directory> --output=<output directory>
tkeir-mstagger-client --config=<path to Morphosyntactic Tagger configuration file> --input=<input directory> --output=<output directory>
or if you install tkeir wheel:
Morphosyntactic Tagger Tests
The Morphosyntactic tagger service come with unit and functional testing.
Morphosyntactic Tagger Unit tests
Unittest allows to test Tokenizer classes only.
python3 -m unittest thot/tests/unittests/TestMorphoSyntacticTaggerConfiguration.py
python3 -m unittest thot/tests/unittests/TestMorphoSyntacticTagger.py