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deplacy2.1.0

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CUI-based Tree Visualizer for Universal Dependencies and Immediate Catena Analysis

pip install deplacy

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Requires Python

>=3.6

Dependencies

    Current PyPI packages

    deplacy

    Simple dependency visualizer for spaCy, UniDic2UD, Stanza, NLP-Cube, Trankit, etc.

    Usage with spaCy

    >>> import spacy
    >>> nlp=spacy.load("en_core_web_sm")
    >>> doc=nlp("I saw a horse yesterday which had no name.")
    >>> import deplacy
    >>> deplacy.render(doc)
    I         PRON  <══════════════╗   nsubj
    saw       VERB  ═══════════╗═╗═╝═╗ ROOT
    a         DET   <════════╗ ║ ║   ║ det
    horse     NOUN  ═══════╗═╝<╝ ║   ║ dobj
    yesterday NOUN  <══════║═════╝   ║ npadvmod
    which     DET   <════╗ ║         ║ nsubj
    had       AUX   ═══╗═╝<╝         ║ relcl
    no        DET   <╗ ║             ║ det
    name      NOUN  ═╝<╝             ║ dobj
    .         PUNCT <════════════════╝ punct
    

    deplacy.render(doc,BoxDrawingWidth=1,EnableCR=False,WordRight=False,CatenaAnalysis=True,file=None,Japanese=False) renders doc on a terminal. For old terminals, whose Box Drawing characters are "fullwidth", BoxDrawingWidth=2 nicely works. For several languages with "proportional" characters, EnableCR=True or WordRight=True may work well. CatenaAnalysis=False disables Immediate Catena Analysis.

    deplacy.serve(doc,port=5000,RtoL=False) invokes a simple web-server to visualize doc with SVG. Try to connect http://127.0.0.1:5000 with your local browser. For Google Colaboratory, port=None visualizes doc directly on the notebook.

    deplacy.dot(doc,RtoL=False) returns raw DOT string for graphviz.Source.

    Other usages

    Visualization examples

    deplacy.render()

    deplacy.render()

    deplacy.serve()

    deplacy.serve()

    deplacy.dot()

    deplacy.dot()

    Installation

    pip install deplacy
    

    You need to install spaCy, UniDic2UD, Stanza, NLP-Cube, or Trankit separately. For Google Colaboratories, please follow (and edit) the templates shown below.

    Templates for Google Colaboratory

    Author

    Koichi Yasuoka (安岡孝一)

    Reference