markovify | A simple , extensible Markov chain generator | Natural Language Processing library

by jsvine Python Version: 0.9.4 License: MIT

X-Ray Key Features Code Snippets(9)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | markovify Summary

markovify is a Python library typically used in Telecommunications, Media, Media, Entertainment, Artificial Intelligence, Natural Language Processing applications. markovify has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install markovify' or download it from GitHub, PyPI.

Markovify is a simple, extensible Markov chain generator. Right now, its primary use is for building Markov models of large corpora of text and generating random sentences from that. However, in theory, it could be used for other applications.

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Support

markovify has a medium active ecosystem.

It has 3131 star(s) with 341 fork(s). There are 69 watchers for this library.

It had no major release in the last 12 months.

There are 10 open issues and 64 have been closed. On average issues are closed in 121 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of markovify is 0.9.4

Quality

markovify has 0 bugs and 0 code smells.

Security

markovify has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

markovify code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

markovify is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

markovify releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

markovify saves you 275 person hours of effort in developing the same functionality from scratch.

It has 750 lines of code, 78 functions and 11 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed markovify and discovered the below as its top functions. This is intended to give you an instant insight into markovify implemented functionality, and help decide if they suit your requirements.

Generate a list of sentences from text
Check if a string is an abbreviation
Determine if the word is an English sentence
Split text into sentences
Combine multiple models
Create a State from a JSON object
Create a document from a chain
Compile the chain
Calculates the sum of an iterable
Compile the next dict
Create an instance from a JSON string
Create a chain from a dictionary
Compute the initial state of the model

Get all kandi verified functions for this library.

markovify Key Features

No Key Features are available at this moment for markovify.

markovify Examples and Code Snippets

Save iteration's result from Markov Chain Python

Python

Lines of Code : 12

License : Strong Copyleft (CC BY-SA 4.0)

Copy

def f():
    result = [] 
    for i in range(300): # Generate 300 sentences 
        result.append(text_model.make_sentence())
    return result

sentences = f()
print(sentences)

def f():
    return [text_model.mak

In python, is there a way to remove all text following the last instance of a delimiter?

Python

Lines of Code : 6

License : Strong Copyleft (CC BY-SA 4.0)

Copy

txt = 'some.text.with.dots'
all_but_last = txt.rsplit('.', 1)[0]
print(all_but_last)

some.text.with

How to know where to join by space in spaCy NLP output

Python

Lines of Code : 4

License : Strong Copyleft (CC BY-SA 4.0)

Copy

[bool(token.whitespace_) for token in nlp("don't")]

[False, False]

how to automate multiple file generation in Python

Python

Lines of Code : 5

License : Strong Copyleft (CC BY-SA 4.0)

Copy

for nr in range(100):
    with open("file{:04}.txt".format(nr), "w") as f:
        for i in range(10): #10 lines of fake sentences.
            f.write(text_model.make_sentence() + "\n")

Python, markov chains and reading large json files

Python

Lines of Code : 12

License : Strong Copyleft (CC BY-SA 4.0)

Copy

def get_filenames(path):
    for root, dirs, files in os.walk(path):
        for file in files:
            if file.endswith(".json"):
                 yield os.path.join(root, file)

def build_it(path):
    for file in get_filenames(path)

UnicodeDecodeError: 'ascii' codec cant decode byte 0xef in position 2141: ordinal not in range(128)

Python

Lines of Code : 8

License : Strong Copyleft (CC BY-SA 4.0)

Copy

    def word_split(self, sentence):
        words = re.split(self.word_split_pattern, sentence)
        words = [w for w in words if len(w) > 0]
        words = [" :: ".join(tag) for tag in nltk.pos_tag(words)]
        words = words.enc

Programming a discord bot in python, ran into the error "string index out of range"

Python

Lines of Code : 4

License : Strong Copyleft (CC BY-SA 4.0)

Copy

words = re.split(self.word_split_pattern, sentence)

words = [w for w in words if len(w) > 0]

Making a discord bot, but keep getting "missing 1 required positional argument: 'self'"

Python

Lines of Code : 4

License : Strong Copyleft (CC BY-SA 4.0)

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text_model.make_sentence(...)

text_model = POSifiedText(text, state_size=1)

Pip not installing Python modules to proper directory

Python

Lines of Code : 7

License : Strong Copyleft (CC BY-SA 4.0)

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$ python --version 
Python 2.7.10
$ command -v python
/usr/bin/python

$ /Library/Frameworks/Python.framework/Versions/3.5/bin/python -c 'import markovify'

Community Discussions

Trending Discussions on markovify

Save iteration's result from Markov Chain Python

QUESTION

Save iteration's result from Markov Chain Python

Asked 2020-Jun-08 at 21:40

In the context of Natural language Generation (NLG), I want to generate 300 sentences with Python's library "Markovify" base on the principle of Makov Chain. My input file which containing text is "SD".

First, I was able to print all the iteration's (=300) results (texts) with the following code :

...

ANSWER

Answered 2020-Jun-08 at 21:40

The result = [] must be before the for loop, or you initialise it every iteration:

Source https://stackoverflow.com/questions/62271499

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install markovify

You can install using 'pip install markovify' or download it from GitHub, PyPI.
You can use markovify like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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