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Last pushed: a month ago
Short Description
A Rest API for syntaxnet
Full Description

Syntaxnet Rest API

This is a simple Rest API for Google Syntaxnet. It parse the string with syntaxnet and return a json for you

The server uses Flask-restful / uwsgi and nginx, so it should be okay for multi query at the same time ( To be tested)

Please switch to dragnn branch if you have performance consideration, also it's newer :D

Usage

docker run -p 9000:9000 -d ljm625/syntaxnet-rest-api

then use curl to POST http://localhost:9000/api/v1/query

The Body of the POST is a json consisting following info:

{
   "strings": ["Google is awesome!","Syntaxnet is Cool"]
}

and the expect output is like:

[
  {
    "pos_tag": "JJ",
    "dep": "ROOT",
    "contains": [
      {
        "pos_tag": "NNP",
        "dep": "nsubj",
        "name": "Google"
      },
      {
        "pos_tag": "VBZ",
        "dep": "cop",
        "name": "is"
      }
    ],
    "name": "awesome"
  }
]

Using parsey_universal

Look here for detail: https://github.com/tensorflow/models/blob/master/syntaxnet/universal.md

After you download the model, unzip into to folder as you like (we use /test_folder here)

execute the command like this:

docker run -p 9000:9000 -v /test_folder:/models -d ljm625/syntaxnet-rest-api

then POST to http://localhost:9000/api/v1/query/*the_folder_name*

for example, I am using English package, and the folder we extracted is called English, so the path is like /test_folder/English, and the url should be http://localhost:9000/api/v1/query/English

The Body of the POST is a json consisting following info:

{
   "strings": ["Google is awesome!","Syntaxnet is Cool"]
}

and you should expect a response using the custom model.

[
  {
    "pos_tag": "NN",
    "Degree": "Pos",
    "name": "awesome!",
    "dep": "ROOT",
    "contains": [
      {
        "pos_tag": "JJ",
        "name": "Google",
        "dep": "nsubj",
        "fPOS": "PROPN++NNP",
        "Number": "Sing",
        "pos": "ADJ"
      },
      {
        "pos_tag": "VBZ",
        "Mood": "Ind",
        "dep": "cop",
        "fPOS": "VERB++VBZ",
        "Number": "Sing",
        "pos": "VERB",
        "Person": "3",
        "Tense": "Pres",
        "VerbForm": "Fin",
        "name": "is"
      }
    ],
    "fPOS": "ADJ++JJ",
    "pos": "NOUN"
  },
  {
    "pos_tag": "NNP",
    "name": "Cool",
    "dep": "ROOT",
    "contains": [
      {
        "pos_tag": "NNP",
        "name": "Syntaxnet",
        "dep": "nsubj",
        "fPOS": "PROPN++NNP",
        "Number": "Sing",
        "pos": "PROPN"
      },
      {
        "pos_tag": "VBZ",
        "Mood": "Ind",
        "dep": "cop",
        "fPOS": "VERB++VBZ",
        "Number": "Sing",
        "pos": "VERB",
        "Person": "3",
        "Tense": "Pres",
        "VerbForm": "Fin",
        "name": "is"
      }
    ],
    "fPOS": "PROPN++NNP",
    "Number": "Sing",
    "pos": "PROPN"
  }
]

Feel free to try different languages using the prebuilt models :D

Special Thanks

This repo uses uses tiangolo's uwsgi+nginx+supervisord dockerfile. Special Thanks to him

Updates

2017/02/28:
Using another method for fetching the info from syntaxnet engine, so you can get lots of info using custom model than before :D

2017/02/26:
Fix the issue with the UTF8 encoding, so non-lantern language are supported

2016/11/18:
Update the logic for multi sentence query so it should faster now

2016/11/17:
Updated the syntaxnet repo with the latest code, with working parser_universal and muti-language support.

If you have any questions, feel free to ask in the discussion part ;)

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ljm625

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