deplacy 1.3.3

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

deplacy

Simple dependency visualizer for spaCy, UniDic2UD, Stanza, NLP-Cube, 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,CatenaAnalysis=True,file=None) 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 may work well. CatenaAnalysis=False disables Immediate Catena Analysis.

deplacy.serve(doc,port=5000) 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) returns raw DOT string for graphviz.Source.

Other usages

• Català
• Čeština
• Dansk
• Deutsch
• English
• Español
• Eesti
• Suomi
• Français
• Gaeilge
• Galego
• Bahasa Indonesia
• Italiano
• 日本語
• 한국어
• Lietuvių
• 漢文/文言文
• Norsk(bokmål)
• Nederlands
• Nynorsk
• Polski
• Português
• Русский
• Svenska
• Tiếng Việt
• 中文(简体)
• 中文(繁體)

Visualization examples

deplacy.render()

deplacy.serve()

deplacy.dot()

Installation

pip install deplacy

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

Templates for Google Colaboratory

• Català
• Čeština
• Dansk
• Deutsch
• English
• Español
• Eesti
• Suomi
• Français
• Gaeilge
• Galego
• Bahasa Indonesia
• Italiano
• 日本語
• 한국어
• Lietuvių
• 漢文/文言文
• Norsk(bokmål)
• Nederlands
• Nynorsk
• Polski
• Português
• Русский
• Svenska
• Tiếng Việt
• 中文(简体)
• 中文(繁體)

Author

Koichi Yasuoka (安岡孝一)

Reference

• 安岡孝一: Universal Dependenciesの拡張にもとづく古典中国語(漢文)の直接構成鎖解析の試み, 情報処理学会研究報告, Vol.2019-CH-120『人文科学とコンピュータ』, No.1 (2019年5月11日), pp.1-8.