pyknp-eventgraph 5.0.0

A a development platform for high-level NLP applications in Japanese

pyknp-eventgraph

EventGraph is a development platform for high-level NLP applications in Japanese. The core concept of EventGraph is event, a language information unit that is closely related to predicate-argument structure but more application-oriented. Events are linked to each other based on their syntactic and semantic relations.

Requirements

• Python 3.6
• pyknp: 0.4.1
• graphviz: 0.10.1

Installation

$ python setup.py install

Use EventGraph as a CLI application

Constructing EventGraph

$ echo '彼女は海外勤務が長いので、英語がうまいに違いない。' | jumanpp | knp -tab | evg -o example-eventgraph.json

Visualizing EventGraph

$ evgviz example-eventgraph.json example-eventgraph.svg

Use EventGraph as a Python library

Constructing EventGraph

from pyknp_eventgraph import EventGraph
from pyknp_eventgraph.utils import read_knp_result_file

# construct EventGraph from a KNP result file
evg = EventGraph.build(read_knp_result_file('example.knp'))

# output EventGraph as a JSON file
evg.save('example-eventgraph.json')

Loading EventGraph

from pyknp_eventgraph import EventGraph

# load EventGraph from a JSON file
with open('example-eventgraph.json', encoding='utf-8', errors='ignore') as f:
    evg = EventGraph.load(f)

Visualizing EventGraph

from pyknp_eventgraph import EventGraph
from pyknp_eventgraph import make_image

# load EventGraph from a JSON file
with open('example-eventgraph.json', 'r', encoding='utf-8', errors='ignore') as f:
    evg = EventGraph.load(f)

# convert EventGraph to its visualization
make_image(evg, 'example-eventgraph.svg')

Authors

• Kurohashi-Kawahara Lab, Kyoto University.
• [e-mail]