parserator | making domain-specific probabilistic parsers | Natural Language Processing library
kandi X-RAY | parserator Summary
kandi X-RAY | parserator Summary
parserator is a Python library typically used in Artificial Intelligence, Natural Language Processing applications. parserator has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install parserator' or download it from GitHub, PyPI.
[usaddress] - Our first probabilistic parser and the basis for the parserator toolkit, it parses any address in the United States. [Read our blog post on how it works] [probablepeople] - Parser for romanized person names.
[usaddress] - Our first probabilistic parser and the basis for the parserator toolkit, it parses any address in the United States. [Read our blog post on how it works] [probablepeople] - Parser for romanized person names.
Support
Quality
Security
License
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Support
parserator has a low active ecosystem.
It has 714 star(s) with 75 fork(s). There are 35 watchers for this library.
It had no major release in the last 12 months.
There are 6 open issues and 31 have been closed. On average issues are closed in 220 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of parserator is 0.6.8
Quality
parserator has 0 bugs and 0 code smells.
Security
parserator has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
parserator code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
parserator 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
parserator 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.
Top functions reviewed by kandi - BETA
kandi has reviewed parserator and discovered the below as its top functions. This is intended to give you an instant insight into parserator implemented functionality, and help decide if they suit your requirements.
- Compare taggers and taggers
- Print the spacing of two strings
- Return a set of training data
- Convert labeled sequence to XML
- Extend the list of labeled sequences
- Append a labeled sequence to the sequence
Get all kandi verified functions for this library.
parserator Key Features
No Key Features are available at this moment for parserator.
parserator Examples and Code Snippets
No Code Snippets are available at this moment for parserator.
Community Discussions
Trending Discussions on parserator
QUESTION
Taking dictionary/list, and mapping to dataframe with x number of matching columns
Asked 2018-Mar-24 at 19:19
I have a table that contains 2 columns.
ANSWER
Answered 2017-Dec-05 at 18:39First, create a column of json responses from the parsing service
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install parserator
You can install using 'pip install parserator' or download it from GitHub, PyPI.
You can use parserator 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.
You can use parserator 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
Web interface for trying out parsers: http://parserator.datamade.us/.
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