
Python-McParseface
Python McParseface: Una forma de llamar a Parsey McParseface programáticamente en Python
6
Github Watches
8
Github Forks
33
Github Stars
What this project does
This project lets you use Google's SyntaxNet (AKA Parsey McParseface) from python code and without hours of installing and training models.
How to run the parser
import pyparseface
parsed_sentence_dict = pyparseface.parse_sentence(
"Maybe there was once a human who looked like you, and somewhere along the "
"line you killed him and took his place. And your superiors don't know.")
print("OrderedDict: %s\n" % parsed_sentence_dict)
pyparseface.pretty_print_dict(parsed_sentence_dict)
Output
OrderedDict: OrderedDict([(u'was VBD ROOT', OrderedDict([(u'Maybe RB advmod', OrderedDict()), (u'there EX expl', OrderedDict()), (u'once RB advmod', OrderedDict()), (u'human NN nsubj', OrderedDict([(u'a DT det', OrderedDict()), (u'looked VBD rcmod', OrderedDict([(u'who WP nsubj', OrderedDict()), (u'like IN prep', OrderedDict([(u'you PRP pobj', OrderedDict())]))]))])), (u', , punct', OrderedDict()), (u'and CC cc', OrderedDict()), (u'killed VBD conj', OrderedDict([(u'somewhere RB advmod', OrderedDict([(u'along IN prep', OrderedDict([(u'line NN pobj', OrderedDict([(u'the DT det', OrderedDict())]))]))])), (u'you PRP nsubj', OrderedDict()), (u'him PRP dobj', OrderedDict()), (u'and CC cc', OrderedDict()), (u'took VBD conj', OrderedDict([(u'place. NN dobj', OrderedDict([(u'his PRP$ poss', OrderedDict())]))])), (u'And CC cc', OrderedDict()), (u'know VB conj', OrderedDict([(u'superiors NNS nsubj', OrderedDict([(u'your PRP$ poss', OrderedDict())])), (u'do VBP aux', OrderedDict()), (u"n't RB neg", OrderedDict())]))])), (u'. . punct', OrderedDict())]))])
was VBD ROOT
+-- Maybe RB advmod
+-- there EX expl
+-- once RB advmod
+-- human NN nsubj
| +-- a DT det
| +-- looked VBD rcmod
| +-- who WP nsubj
| +-- like IN prep
| +-- you PRP pobj
+-- , , punct
+-- and CC cc
+-- killed VBD conj
| +-- somewhere RB advmod
| | +-- along IN prep
| | +-- line NN pobj
| | +-- the DT det
| +-- you PRP nsubj
| +-- him PRP dobj
| +-- and CC cc
| +-- took VBD conj
| | +-- place. NN dobj
| | +-- his PRP$ poss
| +-- And CC cc
| +-- know VB conj
| +-- superiors NNS nsubj
| | +-- your PRP$ poss
| +-- do VBP aux
| +-- n't RB neg
+-- . . punct
Author
Most of the hard stuff was written by Google. Ben Plowman made it slightly easier to get up and running.
相关推荐
I find academic articles and books for research and literature reviews.
Confidential guide on numerology and astrology, based of GG33 Public information
Converts Figma frames into front-end code for various mobile frameworks.
Advanced software engineer GPT that excels through nailing the basics.
Take an adjectivised noun, and create images making it progressively more adjective!
Siri Shortcut Finder – your go-to place for discovering amazing Siri Shortcuts with ease
Descubra la colección más completa y actualizada de servidores MCP en el mercado. Este repositorio sirve como un centro centralizado, que ofrece un extenso catálogo de servidores MCP de código abierto y propietarios, completos con características, enlaces de documentación y colaboradores.
Manipulación basada en Micrypthon I2C del expansor GPIO de la serie MCP, derivada de AdaFruit_MCP230xx
Servidor MCP para obtener contenido de la página web con el navegador sin cabeza de dramaturgo.
Un poderoso complemento Neovim para administrar servidores MCP (protocolo de contexto del modelo)
La aplicación AI de escritorio todo en uno y Docker con trapo incorporado, agentes de IA, creador de agentes sin código, compatibilidad de MCP y más.
Puente entre los servidores Ollama y MCP, lo que permite a LLM locales utilizar herramientas de protocolo de contexto del modelo
🧑🚀 全世界最好的 llM 资料总结(数据处理、模型训练、模型部署、 O1 模型、 MCP 、小语言模型、视觉语言模型) | Resumen de los mejores recursos del mundo.
Plataforma de automatización de flujo de trabajo de código justo con capacidades de IA nativas. Combine el edificio visual con código personalizado, auto-anfitrión o nube, más de 400 integraciones.
Reviews

user_9UI7zfn8
I've been using python-mcparseface for a while now and I must say it's a game-changer for parsing tasks. Plowman has done a fantastic job creating this tool. It’s intuitive, efficient, and integrates seamlessly with my existing Python projects. For anyone looking for a reliable parsing library, check it out on GitHub!