parserator | making domain-specific probabilistic parsers | Natural Language Processing library

 by   datamade Python Version: 0.6.8 License: MIT

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.
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              parserator has a low active ecosystem.
              It has 714 star(s) with 75 fork(s). There are 35 watchers for this library.
              OutlinedDot
              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

            kandi-Quality Quality

              parserator has 0 bugs and 0 code smells.

            kandi-Security 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.

            kandi-License 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.

            kandi-Reuse 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

            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 18:39

            First, create a column of json responses from the parsing service

            Source https://stackoverflow.com/questions/47659423

            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.

            Support

            Web interface for trying out parsers: http://parserator.datamade.us/.
            Find more information at:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries
            Install
          • PyPI

            pip install parserator

          • CLONE
          • HTTPS

            https://github.com/datamade/parserator.git

          • CLI

            gh repo clone datamade/parserator

          • sshUrl

            git@github.com:datamade/parserator.git

          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link

            Consider Popular Natural Language Processing Libraries

            transformers

            by huggingface

            funNLP

            by fighting41love

            bert

            by google-research

            jieba

            by fxsjy

            Python

            by geekcomputers

            Try Top Libraries by datamade

            usaddress

            by datamadePython

            probablepeople

            by datamadePython

            census

            by datamadePython

            data-making-guidelines

            by datamadeHTML

            how-to

            by datamadePython